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Takele WW, Vesco KK, Josefson J, Redman LM, Hannah W, Bonham MP, Chen M, Chivers SC, Fawcett AJ, Grieger JA, Habibi N, Leung GKW, Liu K, Mekonnen EG, Pathirana M, Quinteros A, Taylor R, Ukke GG, Zhou SJ, Lim S. Effective interventions in preventing gestational diabetes mellitus: A systematic review and meta-analysis. Commun Med (Lond) 2024; 4:75. [PMID: 38643248 PMCID: PMC11032369 DOI: 10.1038/s43856-024-00491-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 03/22/2024] [Indexed: 04/22/2024] Open
Abstract
BACKGROUND Lifestyle choices, metformin, and dietary supplements may prevent GDM, but the effect of intervention characteristics has not been identified. This review evaluated intervention characteristics to inform the implementation of GDM prevention interventions. METHODS Ovid, MEDLINE/PubMed, and EMBASE databases were searched. The Template for Intervention Description and Replication (TIDieR) framework was used to examine intervention characteristics (who, what, when, where, and how). Subgroup analysis was performed by intervention characteristics. RESULTS 116 studies involving 40,940 participants are included. Group-based physical activity interventions (RR 0.66; 95% CI 0.46, 0.95) reduce the incidence of GDM compared with individual or mixed (individual and group) delivery format (subgroup p-value = 0.04). Physical activity interventions delivered at healthcare facilities reduce the risk of GDM (RR 0.59; 95% CI 0.49, 0.72) compared with home-based interventions (subgroup p-value = 0.03). No other intervention characteristics impact the effectiveness of all other interventions. CONCLUSIONS Dietary, physical activity, diet plus physical activity, metformin, and myoinositol interventions reduce the incidence of GDM compared with control interventions. Group and healthcare facility-based physical activity interventions show better effectiveness in preventing GDM than individual and community-based interventions. Other intervention characteristics (e.g. utilization of e-health) don't impact the effectiveness of lifestyle interventions, and thus, interventions may require consideration of the local context.
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Affiliation(s)
- Wubet Worku Takele
- Eastern Health Clinical School, Monash University, Melbourne, VIC, Australia
| | - Kimberly K Vesco
- Kaiser Permanente Northwest, Kaiser Permanente Center for Health Research, Oakland, USA
| | - Jami Josefson
- Northwestern University/ Lurie Children's Hospital of Chicago, Chicago, IL, USA
| | | | - Wesley Hannah
- Madras Diabetes Research Foundation Chennai, Chennai, India
- Deakin University, Melbourne, Australia
| | - Maxine P Bonham
- Department of Nutrition, Dietetics and Food, Monash University, Melbourne, VIC, Australia
| | - Mingling Chen
- Monash Centre for Health Research and Implementation, Monash University, Clayton, VIC, Australia
| | - Sian C Chivers
- Department of Women and Children's Health, King's College London, London, UK
| | - Andrea J Fawcett
- Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, USA
- Department of Clinical & Organizational Development, University of Chicago, Chicago, IL, USA
| | - Jessica A Grieger
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, Australia
| | - Nahal Habibi
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, Australia
| | - Gloria K W Leung
- Department of Nutrition, Dietetics and Food, Monash University, Melbourne, VIC, Australia
| | - Kai Liu
- Department of Nutrition, Dietetics and Food, Monash University, Melbourne, VIC, Australia
| | | | - Maleesa Pathirana
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, Australia
| | - Alejandra Quinteros
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, Australia
| | - Rachael Taylor
- School of Health Sciences, University of Newcastle, Callaghan, NSW, Australia
| | - Gebresilasea G Ukke
- Eastern Health Clinical School, Monash University, Melbourne, VIC, Australia
| | - Shao J Zhou
- School of Agriculture, Food and Wine, The University of Adelaide, Adelaide, Australia
| | - Siew Lim
- Eastern Health Clinical School, Monash University, Melbourne, VIC, Australia.
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Habibi N, Leemaqz S, Louie JCY, Wycherley TP, Grieger JA. Dietary Strategies to Reduce Triglycerides in Women of Reproductive Age: A Simulation Modelling Study. Nutrients 2023; 15:5137. [PMID: 38140396 PMCID: PMC10745529 DOI: 10.3390/nu15245137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 12/15/2023] [Accepted: 12/16/2023] [Indexed: 12/24/2023] Open
Abstract
Many women of reproductive age have poor diet quality and are at higher risk of chronic diseases such as diabetes. Triglycerides are a critical risk factor for chronic diseases, and although they can be influenced by diet, there are minimal dietary intervention studies identifying key foods/food groups that reduce triglycerides. We performed data simulation modelling to estimate the potential reductions in fasting triglycerides that could be achieved by different dietary strategies in reproductive age women. The model was created using data from the 2011-2013 Australian Health Survey and incorporated various factors such as demographics, nutrient intake, and plasma biomarkers. Multiple linear regression analysis was conducted to estimate triglyceride levels, considering nutrient intake and pre-determined covariates. Dietary scenarios were developed, reducing the consumption of processed/ultra-processed foods, while increasing the intake of minimally processed foods like fruits, vegetables, fish, and nuts. A total of 606 women were included. Reducing processed foods by 50% plus increasing intakes of fruits (75-225 g/day), vegetables (75-225 g/day), or nuts (10-40 g/day) decreased triglycerides by up to 4.3%. Additionally, incorporating 80 g/day of omega 3 fish (>800 mg long-chain omega 3/100 g) decreased triglycerides by 8.2%. The clinical relevance of lowering triglycerides for cardiometabolic disease management should be tested in dietary intervention studies in women.
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Affiliation(s)
- Nahal Habibi
- Robinson Research Institute, The University of Adelaide, Adelaide 5005, Australia; (N.H.)
- Adelaide Medical School, The University of Adelaide, Adelaide 5005, Australia
| | - Shalem Leemaqz
- Robinson Research Institute, The University of Adelaide, Adelaide 5005, Australia; (N.H.)
- Adelaide Medical School, The University of Adelaide, Adelaide 5005, Australia
| | - Jimmy Chun Yu Louie
- Department of Nursing and Allied Health, School of Health Sciences, Swinburne University of Technology, Melbourne 3122, Australia;
| | - Thomas P. Wycherley
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide 5000, Australia;
| | - Jessica A. Grieger
- Robinson Research Institute, The University of Adelaide, Adelaide 5005, Australia; (N.H.)
- Adelaide Medical School, The University of Adelaide, Adelaide 5005, Australia
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Nejadghaderi SA, Grieger JA, Karamzad N, Kolahi AA, Sullman MJM, Safiri S, Sabour S. Burden of diseases attributable to excess body weight in the Middle East and North Africa region, 1990-2019. Sci Rep 2023; 13:20338. [PMID: 37990049 PMCID: PMC10663478 DOI: 10.1038/s41598-023-46702-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Accepted: 11/03/2023] [Indexed: 11/23/2023] Open
Abstract
High body mass index (BMI), or excess body weight (EBW), represents a significant risk factor for a range of diseases, including cardiovascular diseases and cancers. The study sought to determine the burden of diseases attributable to EBW in the Middle East and North Africa (MENA) region from 1990 and 2019. The analysis also included an exploration of this burden by age, sex, underlying cause, and sociodemographic index (SDI). We utilized publicly available data from the Global Burden of Disease (GBD) study 2019 to identify the deaths and disability-adjusted life-years (DALYs) of diseases associated with EBW in MENA, spanning the period from 1990 to 2019. The GBD estimated the mean BMI and the prevalence of EBW using hierarchical mixed-effects regression, followed by spatiotemporal Gaussian process regression to determine the most accurate BMI distribution through comparison with actual data. In 2019, there were an estimated 538.4 thousand deaths (95% UI 369.9-712.3) and 17.9 million DALYs (12.9-23.1) attributable to EBW in the region. The DALYs attributable to EBW were higher in men (9.3 million [6.5-12.4]) than in women (8.5 million [6.4-10.8]). The age-standardized death and DALY rates for the diseases associated with EBW increased by 5.1% (- 9.0-25.9) and 8.3% (- 6.5-28.8), respectively, during the study period which was not significant. Egypt had the highest age-standardized mortality rate due to EBW (217.7 [140.0, 307.8]), while Yemen (88.6 [45.9, 143.5]) had the lowest. In 2019, the highest number of DALYs occurred among individuals aged 60 to 64 years old. Furthermore, we found a positive association between a nation's SDI and the age-standardized DALY rate linked to EBW. Cardiovascular disease emerged as the leading contributor to the EBW burden in MENA. The disease burden attributable to EBW showed a non-significant increase in MENA from 1990 to 2019.
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Affiliation(s)
- Seyed Aria Nejadghaderi
- Safety Promotion and Injury Prevention Research Centre, Department of Epidemiology, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Jessica A Grieger
- Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia
- Robinson Research Institute, University of Adelaide, Adelaide, SA, Australia
| | - Nahid Karamzad
- Department of Persian Medicine, School of Traditional Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
- Nutrition Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Ali-Asghar Kolahi
- Social Determinants of Health Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mark J M Sullman
- Department of Life and Health Sciences, University of Nicosia, Nicosia, Cyprus
- Department of Social Sciences, University of Nicosia, Nicosia, Cyprus
| | - Saeid Safiri
- Social Determinants of Health Research Center, Department of Community Medicine, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
- Clinical Research Development Unit of Tabriz Valiasr Hospital, Tabriz University of Medical Sciences, Tabriz, Iran.
| | - Siamak Sabour
- Safety Promotion and Injury Prevention Research Centre, Department of Epidemiology, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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Alesi S, Habibi N, Silva TR, Cheung N, Torkel S, Tay CT, Quinteros A, Winter H, Teede H, Mousa A, Grieger JA, Moran LJ. Assessing the influence of preconception diet on female fertility: a systematic scoping review of observational studies. Hum Reprod Update 2023; 29:811-828. [PMID: 37467045 PMCID: PMC10663051 DOI: 10.1093/humupd/dmad018] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 03/29/2023] [Indexed: 07/21/2023] Open
Abstract
BACKGROUND Preconception diet is a proposed modifiable risk factor for infertility. However, there is no official guidance for women in the preconception period as to which dietary approaches may improve fertility. OBJECTIVE AND RATIONALE A comprehensive synthesis of the relevant evidence is key to determine the potentially effective dietary patterns and components as well as evidence gaps, and to provide information for nutritional recommendations for couples planning a pregnancy. SEARCH METHODS In this systematic scoping review, four electronic databases (Medline and EMBASE via Ovid processing, CAB Direct, and CINAHL via EBSCO) were searched for observational studies (prospective and retrospective cohort, cross-sectional, and case-control studies) from inception to 27 September 2021. Eligible studies included women of reproductive age during the preconception period, and evaluated exposures related to preconception diet and outcomes related to fertility. Results were synthesized using a descriptive approach. OUTCOMES A total of 36 studies were eligible for inclusion (31 prospective, 3 cross-sectional, and 2 case-control studies) and were published between 2007 and 2022. Of the assessed dietary exposures, increased adherence to the Mediterranean diet displayed the strongest and most consistent association with improved clinical pregnancy rates. Reducing trans fatty acids (TFAs), saturated fatty acids, and discretionary food intake (fast food and sugar-sweetened beverages) were associated with improvements in live birth, clinical pregnancy rates, and related ART outcomes. The dietary components of seafood, dairy, and soy demonstrated inconsistent findings across the few included studies. WIDER IMPLICATIONS Due to heterogeneity and the limited available literature on most exposures, there is insufficient evidence to support any specific dietary approach for improving fertility. However, following some of the dietary approaches outlined in this review (anti-inflammatory diets, reducing TFA, and discretionary food intake) are consistent with broad healthy eating guidelines, have little to no associated risk, and offer a plausible set of possible benefits. This warrants further exploration in randomized controlled trials.
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Affiliation(s)
| | - Nahal Habibi
- Adelaide Medical School, The University of Adelaide, Adelaide, SA, Australia
- Robinson Research Institute, The University of Adelaide, Adelaide, SA, Australia
| | - Thais Rasia Silva
- Postgraduate Program in Endocrinology and Metabolism, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Nicole Cheung
- Adelaide Medical School, The University of Adelaide, Adelaide, SA, Australia
| | | | | | - Alejandra Quinteros
- Adelaide Medical School, The University of Adelaide, Adelaide, SA, Australia
| | | | | | - Aya Mousa
- Monash University, Clayton, VIC, Australia
| | - Jessica A Grieger
- Adelaide Medical School, The University of Adelaide, Adelaide, SA, Australia
- Robinson Research Institute, The University of Adelaide, Adelaide, SA, Australia
| | - Lisa J Moran
- Monash University, Clayton, VIC, Australia
- Robinson Research Institute, The University of Adelaide, Adelaide, SA, Australia
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5
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Lim S, Takele WW, Vesco KK, Redman LM, Hannah W, Bonham MP, Chen M, Chivers SC, Fawcett AJ, Grieger JA, Habibi N, Leung GKW, Liu K, Mekonnen EG, Pathirana M, Quinteros A, Taylor R, Ukke GG, Zhou SJ, Josefson J. Participant characteristics in the prevention of gestational diabetes as evidence for precision medicine: a systematic review and meta-analysis. Commun Med (Lond) 2023; 3:137. [PMID: 37794119 PMCID: PMC10551015 DOI: 10.1038/s43856-023-00366-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Accepted: 09/20/2023] [Indexed: 10/06/2023] Open
Abstract
BACKGROUND Precision prevention involves using the unique characteristics of a particular group to determine their responses to preventive interventions. This study aimed to systematically evaluate the participant characteristics associated with responses to interventions in gestational diabetes mellitus (GDM) prevention. METHODS We searched MEDLINE, EMBASE, and Pubmed to identify lifestyle (diet, physical activity, or both), metformin, myoinositol/inositol and probiotics interventions of GDM prevention published up to May 24, 2022. RESULTS From 10347 studies, 116 studies (n = 40940 women) are included. Physical activity results in greater GDM reduction in participants with a normal body mass index (BMI) at baseline compared to obese BMI (risk ratio, 95% confidence interval: 0.06 [0.03, 0.14] vs 0.68 [0.26, 1.60]). Combined diet and physical activity interventions result in greater GDM reduction in participants without polycystic ovary syndrome (PCOS) than those with PCOS (0.62 [0.47, 0.82] vs 1.12 [0.78-1.61]) and in those without a history of GDM than those with unspecified GDM history (0.62 [0.47, 0.81] vs 0.85 [0.76, 0.95]). Metformin interventions are more effective in participants with PCOS than those with unspecified status (0.38 [0.19, 0.74] vs 0.59 [0.25, 1.43]), or when commenced preconception than during pregnancy (0.21 [0.11, 0.40] vs 1.15 [0.86-1.55]). Parity, history of having a large-for-gestational-age infant or family history of diabetes have no effect on intervention responses. CONCLUSIONS GDM prevention through metformin or lifestyle differs according to some individual characteristics. Future research should include trials commencing preconception and provide results disaggregated by a priori defined participant characteristics including social and environmental factors, clinical traits, and other novel risk factors to predict GDM prevention through interventions.
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Affiliation(s)
- Siew Lim
- Eastern Health Clinical School, Monash University, Melbourne, Victoria, Australia.
| | - Wubet Worku Takele
- Eastern Health Clinical School, Monash University, Melbourne, Victoria, Australia
| | - Kimberly K Vesco
- Kaiser Permanente Northwest, Kaiser Permanente Center for Health Research, Oakland, USA
| | | | - Wesley Hannah
- Madras Diabetes Research Foundation Chennai, Chennai, India
- Deakin University, Melbourne, Australia
| | - Maxine P Bonham
- Department of Nutrition and Dietetics, Monash University, Melbourne, Victoria, Australia
| | - Mingling Chen
- Monash Centre for Health Research and Implementation, Monash University, Clayton, VIC, Australia
| | - Sian C Chivers
- Department of Women and Children's Health, King's College London, London, United Kingdom
| | - Andrea J Fawcett
- Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, USA
- Department of Clinical & Organizational Development, University of Chicago, Chicago, IL, USA
| | - Jessica A Grieger
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, Australia
| | - Nahal Habibi
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, Australia
| | - Gloria K W Leung
- Department of Nutrition and Dietetics, Monash University, Melbourne, Victoria, Australia
| | - Kai Liu
- Department of Nutrition and Dietetics, Monash University, Melbourne, Victoria, Australia
| | | | - Maleesa Pathirana
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, Australia
| | - Alejandra Quinteros
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, Australia
| | - Rachael Taylor
- School of Health Sciences, University of Newcastle, Newcastle, Australia
| | - Gebresilasea G Ukke
- Eastern Health Clinical School, Monash University, Melbourne, Victoria, Australia
| | - Shao J Zhou
- School of Agriculture, Food and Wine, University of Adelaide, Adelaide, Australia
- American Diabetes Association (ADA) and European Association for the Study of Diabetes (EASD) Precision Medicine in Diabetes Initiative (PMDI) led by Paul Franks, Malmo, Sweden
| | - Jami Josefson
- Northwestern University/ Lurie Children's Hospital of Chicago, Chicago, USA.
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Tobias DK, Merino J, Ahmad A, Aiken C, Benham JL, Bodhini D, Clark AL, Colclough K, Corcoy R, Cromer SJ, Duan D, Felton JL, Francis EC, Gillard P, Gingras V, Gaillard R, Haider E, Hughes A, Ikle JM, Jacobsen LM, Kahkoska AR, Kettunen JLT, Kreienkamp RJ, Lim LL, Männistö JME, Massey R, Mclennan NM, Miller RG, Morieri ML, Most J, Naylor RN, Ozkan B, Patel KA, Pilla SJ, Prystupa K, Raghavan S, Rooney MR, Schön M, Semnani-Azad Z, Sevilla-Gonzalez M, Svalastoga P, Takele WW, Tam CHT, Thuesen ACB, Tosur M, Wallace AS, Wang CC, Wong JJ, Yamamoto JM, Young K, Amouyal C, Andersen MK, Bonham MP, Chen M, Cheng F, Chikowore T, Chivers SC, Clemmensen C, Dabelea D, Dawed AY, Deutsch AJ, Dickens LT, DiMeglio LA, Dudenhöffer-Pfeifer M, Evans-Molina C, Fernández-Balsells MM, Fitipaldi H, Fitzpatrick SL, Gitelman SE, Goodarzi MO, Grieger JA, Guasch-Ferré M, Habibi N, Hansen T, Huang C, Harris-Kawano A, Ismail HM, Hoag B, Johnson RK, Jones AG, Koivula RW, Leong A, Leung GKW, Libman IM, Liu K, Long SA, Lowe WL, Morton RW, Motala AA, Onengut-Gumuscu S, Pankow JS, Pathirana M, Pazmino S, Perez D, Petrie JR, Powe CE, Quinteros A, Jain R, Ray D, Ried-Larsen M, Saeed Z, Santhakumar V, Kanbour S, Sarkar S, Monaco GSF, Scholtens DM, Selvin E, Sheu WHH, Speake C, Stanislawski MA, Steenackers N, Steck AK, Stefan N, Støy J, Taylor R, Tye SC, Ukke GG, Urazbayeva M, Van der Schueren B, Vatier C, Wentworth JM, Hannah W, White SL, Yu G, Zhang Y, Zhou SJ, Beltrand J, Polak M, Aukrust I, de Franco E, Flanagan SE, Maloney KA, McGovern A, Molnes J, Nakabuye M, Njølstad PR, Pomares-Millan H, Provenzano M, Saint-Martin C, Zhang C, Zhu Y, Auh S, de Souza R, Fawcett AJ, Gruber C, Mekonnen EG, Mixter E, Sherifali D, Eckel RH, Nolan JJ, Philipson LH, Brown RJ, Billings LK, Boyle K, Costacou T, Dennis JM, Florez JC, Gloyn AL, Gomez MF, Gottlieb PA, Greeley SAW, Griffin K, Hattersley AT, Hirsch IB, Hivert MF, Hood KK, Josefson JL, Kwak SH, Laffel LM, Lim SS, Loos RJF, Ma RCW, Mathieu C, Mathioudakis N, Meigs JB, Misra S, Mohan V, Murphy R, Oram R, Owen KR, Ozanne SE, Pearson ER, Perng W, Pollin TI, Pop-Busui R, Pratley RE, Redman LM, Redondo MJ, Reynolds RM, Semple RK, Sherr JL, Sims EK, Sweeting A, Tuomi T, Udler MS, Vesco KK, Vilsbøll T, Wagner R, Rich SS, Franks PW. Second international consensus report on gaps and opportunities for the clinical translation of precision diabetes medicine. Nat Med 2023; 29:2438-2457. [PMID: 37794253 PMCID: PMC10735053 DOI: 10.1038/s41591-023-02502-5] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 07/14/2023] [Indexed: 10/06/2023]
Abstract
Precision medicine is part of the logical evolution of contemporary evidence-based medicine that seeks to reduce errors and optimize outcomes when making medical decisions and health recommendations. Diabetes affects hundreds of millions of people worldwide, many of whom will develop life-threatening complications and die prematurely. Precision medicine can potentially address this enormous problem by accounting for heterogeneity in the etiology, clinical presentation and pathogenesis of common forms of diabetes and risks of complications. This second international consensus report on precision diabetes medicine summarizes the findings from a systematic evidence review across the key pillars of precision medicine (prevention, diagnosis, treatment, prognosis) in four recognized forms of diabetes (monogenic, gestational, type 1, type 2). These reviews address key questions about the translation of precision medicine research into practice. Although not complete, owing to the vast literature on this topic, they revealed opportunities for the immediate or near-term clinical implementation of precision diabetes medicine; furthermore, we expose important gaps in knowledge, focusing on the need to obtain new clinically relevant evidence. Gaps include the need for common standards for clinical readiness, including consideration of cost-effectiveness, health equity, predictive accuracy, liability and accessibility. Key milestones are outlined for the broad clinical implementation of precision diabetes medicine.
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Affiliation(s)
- Deirdre K Tobias
- Division of Preventative Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jordi Merino
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Abrar Ahmad
- Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden
| | - Catherine Aiken
- Department of Obstetrics and Gynaecology, The Rosie Hospital, Cambridge, UK
- NIHR Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, UK
| | - Jamie L Benham
- Departments of Medicine and Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Dhanasekaran Bodhini
- Department of Molecular Genetics, Madras Diabetes Research Foundation, Chennai, India
| | - Amy L Clark
- Division of Pediatric Endocrinology, Department of Pediatrics, Saint Louis University School of Medicine, SSM Health Cardinal Glennon Children's Hospital, St. Louis, MO, USA
| | - Kevin Colclough
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Rosa Corcoy
- CIBER-BBN, ISCIII, Madrid, Spain
- Institut d'Investigació Biomèdica Sant Pau (IIB SANT PAU), Barcelona, Spain
- Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Sara J Cromer
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Daisy Duan
- Division of Endocrinology, Diabetes and Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jamie L Felton
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Ellen C Francis
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ, USA
| | | | - Véronique Gingras
- Department of Nutrition, Université de Montréal, Montreal, Quebec, Quebec, Canada
- Research Center, Sainte-Justine University Hospital Center, Montreal, Quebec, Quebec, Canada
| | - Romy Gaillard
- Department of Pediatrics, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Eram Haider
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Alice Hughes
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Jennifer M Ikle
- Department of Pediatrics, Stanford School of Medicine, Stanford University, Stanford, CA, USA
- Stanford Diabetes Research Center, Stanford School of Medicine, Stanford University, Stanford, CA, USA
| | | | - Anna R Kahkoska
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jarno L T Kettunen
- Helsinki University Hospital, Abdominal Centre/Endocrinology, Helsinki, Finland
- Folkhalsan Research Center, Helsinki, Finland
- Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland
| | - Raymond J Kreienkamp
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Pediatrics, Division of Endocrinology, Boston Children's Hospital, Boston, MA, USA
| | - Lee-Ling Lim
- Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
- Asia Diabetes Foundation, Hong Kong SAR, China
- Department of Medicine & Therapeutics, Chinese University of Hong Kong, Hong Kong SAR, China
| | - Jonna M E Männistö
- Departments of Pediatrics and Clinical Genetics, Kuopio University Hospital, Kuopio, Finland
- Department of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Robert Massey
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Niamh-Maire Mclennan
- Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Rachel G Miller
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Mario Luca Morieri
- Metabolic Disease Unit, University Hospital of Padova, Padova, Italy
- Department of Medicine, University of Padova, Padova, Italy
| | - Jasper Most
- Department of Orthopedics, Zuyderland Medical Center, Sittard-Geleen, The Netherlands
| | - Rochelle N Naylor
- Departments of Pediatrics and Medicine, University of Chicago, Chicago, IL, USA
| | - Bige Ozkan
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Kashyap Amratlal Patel
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Scott J Pilla
- Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
- Department of Health Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Katsiaryna Prystupa
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Sridharan Raghavan
- Section of Academic Primary Care, US Department of Veterans Affairs Eastern Colorado Health Care System, Aurora, CO, USA
- Department of Medicine, University of Colorado School of Medicine, Aurora, CO, USA
| | - Mary R Rooney
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Martin Schön
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute of Diabetes Research and Metabolic Diseases (IDM), Helmholtz Center Munich, Neuherberg, Germany
- Institute of Experimental Endocrinology, Biomedical Research Center, Slovak Academy of Sciences, Bratislava, Slovakia
| | - Zhila Semnani-Azad
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Magdalena Sevilla-Gonzalez
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Pernille Svalastoga
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
- Children and Youth Clinic, Haukeland University Hospital, Bergen, Norway
| | - Wubet Worku Takele
- Eastern Health Clinical School, Monash University, Melbourne, Victoria, Australia
| | - Claudia Ha-Ting Tam
- Department of Medicine & Therapeutics, Chinese University of Hong Kong, Hong Kong SAR, China
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Anne Cathrine B Thuesen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Mustafa Tosur
- Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
- Division of Pediatric Diabetes and Endocrinology, Texas Children's Hospital, Houston, TX, USA
- Children's Nutrition Research Center, USDA/ARS, Houston, TX, USA
| | - Amelia S Wallace
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Caroline C Wang
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Jessie J Wong
- Stanford University School of Medicine, Stanford, CA, USA
| | | | - Katherine Young
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Chloé Amouyal
- Department of Diabetology, APHP, Paris, France
- Sorbonne Université, INSERM, NutriOmic team, Paris, France
| | - Mette K Andersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Maxine P Bonham
- Department of Nutrition, Dietetics and Food, Monash University, Melbourne, Victoria, Australia
| | - Mingling Chen
- Monash Centre for Health Research and Implementation, Monash University, Clayton, Victoria, Australia
| | - Feifei Cheng
- Health Management Center, The Second Affiliated Hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, China
| | - Tinashe Chikowore
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- MRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Sian C Chivers
- Department of Women and Children's Health, King's College London, London, UK
| | - Christoffer Clemmensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Adem Y Dawed
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Aaron J Deutsch
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Laura T Dickens
- Section of Adult and Pediatric Endocrinology, Diabetes and Metabolism, Kovler Diabetes Center, University of Chicago, Chicago, IL, USA
| | - Linda A DiMeglio
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Pediatrics, Riley Hospital for Children, Indiana University School of Medicine, Indianapolis, IN, USA
| | | | - Carmella Evans-Molina
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
- Richard L. Roudebush VAMC, Indianapolis, IN, USA
| | - María Mercè Fernández-Balsells
- Biomedical Research Institute Girona, IdIBGi, Girona, Spain
- Diabetes, Endocrinology and Nutrition Unit Girona, University Hospital Dr Josep Trueta, Girona, Spain
| | - Hugo Fitipaldi
- Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden
| | - Stephanie L Fitzpatrick
- Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA
| | - Stephen E Gitelman
- University of California at San Francisco, Department of Pediatrics, Diabetes Center, San Francisco, CA, USA
| | - Mark O Goodarzi
- Division of Endocrinology, Diabetes and Metabolism, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Jessica A Grieger
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia
- Robinson Research Institute, The University of Adelaide, Adelaide, South Australia, Australia
| | - Marta Guasch-Ferré
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Public Health and Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Nahal Habibi
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia
- Robinson Research Institute, The University of Adelaide, Adelaide, South Australia, Australia
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Chuiguo Huang
- Department of Medicine & Therapeutics, Chinese University of Hong Kong, Hong Kong SAR, China
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Arianna Harris-Kawano
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Heba M Ismail
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Benjamin Hoag
- Division of Endocrinology and Diabetes, Department of Pediatrics, Sanford Children's Hospital, Sioux Falls, SD, USA
- University of South Dakota School of Medicine, E Clark St, Vermillion, SD, USA
| | - Randi K Johnson
- Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA
| | - Angus G Jones
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
- Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK
| | - Robert W Koivula
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
| | - Aaron Leong
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Gloria K W Leung
- Department of Nutrition, Dietetics and Food, Monash University, Melbourne, Victoria, Australia
| | | | - Kai Liu
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia
| | - S Alice Long
- Center for Translational Immunology, Benaroya Research Institute, Seattle, WA, USA
| | - William L Lowe
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Robert W Morton
- Department of Pathology & Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
- Population Health Research Institute, Hamilton, Ontario, Canada
- Department of Translational Medicine, Medical Science, Novo Nordisk Foundation, Hellerup, Denmark
| | - Ayesha A Motala
- Department of Diabetes and Endocrinology, Nelson R. Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Suna Onengut-Gumuscu
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - James S Pankow
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Maleesa Pathirana
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia
- Robinson Research Institute, The University of Adelaide, Adelaide, South Australia, Australia
| | - Sofia Pazmino
- Department of Chronic Diseases and Metabolism, Clinical and Experimental Endocrinologyó, KU Leuven, Leuven, Belgium
| | - Dianna Perez
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
| | - John R Petrie
- School of Health and Wellbeing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Camille E Powe
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Obstetrics, Gynecology, and Reproductive Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Alejandra Quinteros
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia
| | - Rashmi Jain
- Sanford Children's Specialty Clinic, Sioux Falls, SD, USA
- Department of Pediatrics, Sanford School of Medicine, University of South Dakota, Sioux Falls, SD, USA
| | - Debashree Ray
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Mathias Ried-Larsen
- Centre for Physical Activity Research, Rigshospitalet, Copenhagen, Denmark
- Institute for Sports and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
| | - Zeb Saeed
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Vanessa Santhakumar
- Division of Preventative Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Sarah Kanbour
- Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
- AMAN Hospital, Doha, Qatar
| | - Sudipa Sarkar
- Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Gabriela S F Monaco
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Denise M Scholtens
- Department of Preventive Medicine, Division of Biostatistics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Elizabeth Selvin
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Wayne Huey-Herng Sheu
- Institute of Molecular and Genomic Medicine, National Health Research Institutes, Zhunan, Taiwan
- Divsion of Endocrinology and Metabolism, Taichung Veterans General Hospital, Taichung, Taiwan
- Division of Endocrinology and Metabolism, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Cate Speake
- Center for Interventional Immunology, Benaroya Research Institute, Seattle, WA, USA
| | - Maggie A Stanislawski
- Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Nele Steenackers
- Department of Chronic Diseases and Metabolism, Clinical and Experimental Endocrinologyó, KU Leuven, Leuven, Belgium
| | - Andrea K Steck
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Norbert Stefan
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute of Diabetes Research and Metabolic Diseases (IDM), Helmholtz Center Munich, Neuherberg, Germany
- University Hospital of Tübingen, Tübingen, Germany
| | - Julie Støy
- Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark
| | | | - Sok Cin Tye
- Sections on Genetics and Epidemiology, Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, Groningen, the Netherlands
| | | | - Marzhan Urazbayeva
- Division of Pediatric Diabetes and Endocrinology, Texas Children's Hospital, Houston, TX, USA
- Gastroenterology, Baylor College of Medicine, Houston, TX, USA
| | - Bart Van der Schueren
- Department of Chronic Diseases and Metabolism, Clinical and Experimental Endocrinologyó, KU Leuven, Leuven, Belgium
- Department of Endocrinology, University Hospitals Leuven, Leuven, Belgium
| | - Camille Vatier
- Sorbonne University, Inserm U938, Saint-Antoine Research Centre, Institute of Cardiometabolism and Nutrition, Paris, France
- Department of Endocrinology, Diabetology and Reproductive Endocrinology, Assistance Publique-Hôpitaux de Paris, Saint-Antoine University Hospital, National Reference Center for Rare Diseases of Insulin Secretion and Insulin Sensitivity (PRISIS), Paris, France
| | - John M Wentworth
- Royal Melbourne Hospital Department of Diabetes and Endocrinology, Parkville, Victoria, Australia
- Walter and Eliza Hall Institute, Parkville, Victoria, Australia
- University of Melbourne Department of Medicine, Parkville, Victoria, Australia
| | - Wesley Hannah
- Deakin University, Melbourne, Victoria, Australia
- Department of Epidemiology, Madras Diabetes Research Foundation, Chennai, India
| | - Sara L White
- Department of Women and Children's Health, King's College London, London, UK
- Department of Diabetes and Endocrinology, Guy's and St Thomas' Hospitals NHS Foundation Trust, London, UK
| | - Gechang Yu
- Department of Medicine & Therapeutics, Chinese University of Hong Kong, Hong Kong SAR, China
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yingchai Zhang
- Department of Medicine & Therapeutics, Chinese University of Hong Kong, Hong Kong SAR, China
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Shao J Zhou
- Robinson Research Institute, The University of Adelaide, Adelaide, South Australia, Australia
- School of Agriculture, Food and Wine, University of Adelaide, Adelaide, South Australia, Australia
| | - Jacques Beltrand
- Institut Cochin, Inserm U 10116, Paris, France
- Pediatric Endocrinology and Diabetes, Hopital Necker Enfants Malades, APHP Centre, Université de Paris, Paris, France
| | - Michel Polak
- Institut Cochin, Inserm U 10116, Paris, France
- Pediatric Endocrinology and Diabetes, Hopital Necker Enfants Malades, APHP Centre, Université de Paris, Paris, France
| | - Ingvild Aukrust
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Elisa de Franco
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Sarah E Flanagan
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Kristin A Maloney
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Andrew McGovern
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Janne Molnes
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Mariam Nakabuye
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Pål Rasmus Njølstad
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
- Children and Youth Clinic, Haukeland University Hospital, Bergen, Norway
| | - Hugo Pomares-Millan
- Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Michele Provenzano
- Nephrology, Dialysis and Renal Transplant Unit, IRCCS-Azienda Ospedaliero-Universitaria di Bologna, Alma Mater Studiorum University of Bologna, Bologna, Italy
| | - Cécile Saint-Martin
- Department of Medical Genetics, AP-HP Pitié-Salpêtrière Hospital, Sorbonne University, Paris, France
| | - Cuilin Zhang
- Global Center for Asian Women's Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Yeyi Zhu
- Kaiser Permanente Northern California Division of Research, Oakland, CA, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Sungyoung Auh
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Russell de Souza
- Population Health Research Institute, Hamilton, Ontario, Canada
- Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Andrea J Fawcett
- Ann & Robert H. Lurie Children's Hospital of Chicago, Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Clinical and Organizational Development, Chicago, IL, USA
| | | | - Eskedar Getie Mekonnen
- College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
- Global Health Institute, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Emily Mixter
- Department of Medicine and Kovler Diabetes Center, University of Chicago, Chicago, IL, USA
| | - Diana Sherifali
- Population Health Research Institute, Hamilton, Ontario, Canada
- School of Nursing, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Robert H Eckel
- Division of Endocrinology, Metabolism, Diabetes, University of Colorado, Aurora, CO, USA
| | - John J Nolan
- Department of Clinical Medicine, School of Medicine, Trinity College Dublin, Dublin, Ireland
- Department of Endocrinology, Wexford General Hospital, Wexford, Ireland
| | - Louis H Philipson
- Department of Medicine and Kovler Diabetes Center, University of Chicago, Chicago, IL, USA
| | - Rebecca J Brown
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Liana K Billings
- Division of Endocrinology, NorthShore University HealthSystem, Skokie, IL, USA
- Department of Medicine, Prtizker School of Medicine, University of Chicago, Chicago, IL, USA
| | - Kristen Boyle
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Tina Costacou
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - John M Dennis
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Jose C Florez
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Anna L Gloyn
- Department of Pediatrics, Stanford School of Medicine, Stanford University, Stanford, CA, USA
- Stanford Diabetes Research Center, Stanford School of Medicine, Stanford University, Stanford, CA, USA
- Department of Genetics, Stanford School of Medicine, Stanford University, Stanford, CA, USA
| | - Maria F Gomez
- Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden
- Faculty of Health, Aarhus University, Aarhus, Denmark
| | - Peter A Gottlieb
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Siri Atma W Greeley
- Departments of Pediatrics and Medicine and Kovler Diabetes Center, University of Chicago, Chicago, IL, USA
| | - Kurt Griffin
- Department of Pediatrics, Sanford School of Medicine, University of South Dakota, Sioux Falls, SD, USA
- Sanford Research, Sioux Falls, SD, USA
| | - Andrew T Hattersley
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
- Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK
| | - Irl B Hirsch
- University of Washington School of Medicine, Seattle, WA, USA
| | - Marie-France Hivert
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Department of Medicine, Universite de Sherbrooke, Sherbrooke, Quebec, Canada
| | - Korey K Hood
- Stanford University School of Medicine, Stanford, CA, USA
| | - Jami L Josefson
- Ann & Robert H. Lurie Children's Hospital of Chicago, Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Soo Heon Kwak
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Lori M Laffel
- Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA
| | - Siew S Lim
- Eastern Health Clinical School, Monash University, Melbourne, Victoria, Australia
| | - Ruth J F Loos
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ronald C W Ma
- Department of Medicine & Therapeutics, Chinese University of Hong Kong, Hong Kong SAR, China
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong SAR, China
| | | | | | - James B Meigs
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute, Cambridge, MA, USA
| | - Shivani Misra
- Division of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
- Department of Diabetes & Endocrinology, Imperial College Healthcare NHS Trust, London, UK
| | - Viswanathan Mohan
- Department of Diabetology, Madras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialities Centre, Chennai, India
| | - Rinki Murphy
- Department of Medicine, Faculty of Medicine and Health Sciences, University of Auckland, Auckland, New Zealand
- Auckland Diabetes Centre, Te Whatu Ora Health New Zealand, Auckland, New Zealand
- Medical Bariatric Service, Te Whatu Ora Counties, Health New Zealand, Auckland, New Zealand
| | - Richard Oram
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
- Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK
| | - Katharine R Owen
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
- Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Susan E Ozanne
- University of Cambridge, Metabolic Research Laboratories and MRC Metabolic Diseases Unit, Wellcome-MRC Institute of Metabolic Science, Cambridge, UK
| | - Ewan R Pearson
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Wei Perng
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Toni I Pollin
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Epidemiology & Public Health, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Rodica Pop-Busui
- Department of Internal Medicine, Division of Metabolism, Endocrinology and Diabetes, University of Michigan, Ann Arbor, MI, USA
| | | | | | - Maria J Redondo
- Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
- Division of Pediatric Diabetes and Endocrinology, Texas Children's Hospital, Houston, TX, USA
| | - Rebecca M Reynolds
- Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Robert K Semple
- Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | | | - Emily K Sims
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Arianne Sweeting
- Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
- Department of Endocrinology, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia
| | - Tiinamaija Tuomi
- Helsinki University Hospital, Abdominal Centre/Endocrinology, Helsinki, Finland
- Folkhalsan Research Center, Helsinki, Finland
- Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland
| | - Miriam S Udler
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Kimberly K Vesco
- Kaiser Permanente Northwest, Kaiser Permanente Center for Health Research, Portland, OR, USA
| | - Tina Vilsbøll
- Clinial Research, Steno Diabetes Center Copenhagen, Herlev, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Robert Wagner
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Department of Endocrinology and Diabetology, University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Stephen S Rich
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Paul W Franks
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
- Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden.
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK.
- Department of Translational Medicine, Medical Science, Novo Nordisk Foundation, Hellerup, Denmark.
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Moumin NA, Grieger JA, Netting MJ, Makrides M, Green TJ. Iron-Fortified Foods Are Needed To Meet the Estimated Average Requirement for Iron in Australian Infants Aged 6 to 12 Months. J Nutr 2023; 153:3101-3109. [PMID: 37604385 DOI: 10.1016/j.tjnut.2023.08.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Revised: 08/11/2023] [Accepted: 08/16/2023] [Indexed: 08/23/2023] Open
Abstract
BACKGROUND Meeting iron intake recommendations is challenging for infants 6-12 mo, especially breastfed infants. Three-quarters of Australian infants 6-12 mo have iron intakes below the estimated average requirement (7 mg), placing them at risk of iron deficiency. After 6 mo, breastmilk is no longer sufficient to meet the increased demand for iron, and iron-rich complementary foods are recommended. Iron-fortified foods may be a means of improving iron intake in infants, particularly those that are breastfed. OBJECTIVES The aims of the study were as follows: 1) to examine the effect of milk-type and fortified foods on iron intake and the prevalence of inadequacy in infants 6-12 mo; 2) to model the effect of fixed amounts of iron-fortified infant cereal (IFIC) at 6 levels of iron fortification on total iron intake and the prevalence of inadequacy; and 3) to assess the effect IFIC on the intake of other nutrients in the diet. DESIGN Secondary analysis of cross-sectional dietary intake data of infants 6-12 mo (n = 286) participating in the Australian Feeding Infants and Toddlers Study (OzFITS) 2021. RESULTS Median (interquartile range) iron intake was 8.9 (7.5, 10.3); 6.3 (4.5, 8.2); and 2.7 (1.5, 4.4) mg/d in formula-fed, combination-fed, and breastfed infants, respectively. The corresponding prevalence of inadequacy was 19%, 67%, and 96%. Infants who consumed fortified foods had higher median iron intakes than those who did not, 6.2 compared with 1.9 mg/d. Dietary modeling showed that consuming 18 g (300 kJ) of IFIC, fortified at 35 mg/100 g dry weight, reduces the prevalence of inadequacy for iron from 75% to 5% for all infants. CONCLUSIONS Iron intakes are low in Australian infants, especially for breastfed infants in the second half of infancy. Modeling shows that 300 kJ of IFIC, the current manufacturer-recommended serving, fortified at 35 mg/100 g dry weight, added to infant diets would be an effective means to reduce the prevalence of inadequacy for iron.
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Affiliation(s)
- Najma A Moumin
- Women and Kids Theme, South Australia Health and Medical Research Institute, Adelaide South Australia, Australia; Discipline of Paediatrics, Faculty of Health and Medical Sciences, Adelaide Medical School, The University of Adelaide, Adelaide South Australia, Australia
| | - Jessica A Grieger
- Discipline of Obstetrics and Gynaecology, Faculty of Health and Medical Sciences, Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia; Robinson Research Institute, The University of Adelaide, Adelaide, South Australia, Australia; Lifelong Health Theme, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - Merryn J Netting
- Women and Kids Theme, South Australia Health and Medical Research Institute, Adelaide South Australia, Australia; Discipline of Paediatrics, Faculty of Health and Medical Sciences, Adelaide Medical School, The University of Adelaide, Adelaide South Australia, Australia; Nutrition Department, Women's and Children's Health Network, Adelaide, South Australia, Australia
| | - Maria Makrides
- Women and Kids Theme, South Australia Health and Medical Research Institute, Adelaide South Australia, Australia; Discipline of Paediatrics, Faculty of Health and Medical Sciences, Adelaide Medical School, The University of Adelaide, Adelaide South Australia, Australia
| | - Tim J Green
- Women and Kids Theme, South Australia Health and Medical Research Institute, Adelaide South Australia, Australia; College of Nursing and Health Sciences, Flinders University, Bedford Park, South Australia, Australia.
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Puglisi CJ, McDonough J, Bianco-Miotto T, A Grieger J. General Practitioners perspectives on infant telomere length screening after a pregnancy complication: a qualitative analysis. Fam Pract 2023:7188177. [PMID: 37262296 DOI: 10.1093/fampra/cmad064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/03/2023] Open
Abstract
BACKGROUND Pregnancy complications can impact the mother and child's health in the short and longterm resulting in an increased risk of chronic disease later in life. Telomere length is a biomarker of future cardiometabolic diseases and may offer a novel way of identifying offspring most at risk for future chronic diseases. OBJECTIVE(S) To qualitatively explore General Practitioners' (GPs) perspectives on the feasibility and uptake for recommending a telomere screening test in children who were born after a pregnancy complication. METHODS Twelve semi-structured interviews were conducted with GPs within metropolitan Adelaide, South Australia. Interviews were audio recorded, transcribed verbatim, and analysed for codes and themes. RESULTS Two themes were generated: ethical considerations and practical considerations. Ethically, the GP participants discussed barriers including consenting on behalf of a child, parental guilt, and the impact of health insurance, whereas viewing it for health promotion was a facilitator. For practical considerations, barriers included the difficulty in identifying people eligible for screening, maintaining medical communication between service providers, and time and financial constraints, whereas linking screening for telomere length with existing screening would facilitate uptake. CONCLUSIONS GPs were generally supportive of potential telomere screening in infants, particularly via a saliva test that could be embedded in current antenatal care. However, several challenges, such as lack of knowledge, ethical considerations, and time and financial constraints, need to be overcome before such a test could be implemented into practice.
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Affiliation(s)
- Carolyn J Puglisi
- School of Agriculture, Food and Wine, University of Adelaide, Adelaide 5005, Australia
| | - Joshua McDonough
- School of Public Health, University of Adelaide, Adelaide 5005, Australia
| | - Tina Bianco-Miotto
- School of Agriculture, Food and Wine, University of Adelaide, Adelaide 5005, Australia
- Robinson Research Institute, University of Adelaide, Adelaide 5005, Australia
| | - Jessica A Grieger
- Robinson Research Institute, University of Adelaide, Adelaide 5005, Australia
- Adelaide Medical School, University of Adelaide, Adelaide 5005, Australia
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9
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Winter HG, Rolnik DL, Mol BWJ, Torkel S, Alesi S, Mousa A, Habibi N, Silva TR, Oi Cheung T, Thien Tay C, Quinteros A, Grieger JA, Moran LJ. Can Dietary Patterns Impact Fertility Outcomes? A Systematic Review and Meta-Analysis. Nutrients 2023; 15:nu15112589. [PMID: 37299551 DOI: 10.3390/nu15112589] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 05/23/2023] [Accepted: 05/27/2023] [Indexed: 06/12/2023] Open
Abstract
There are conflicting results on the effect of diet on fertility. This study aimed to assess the effect of different dietary patterns on fertility outcomes in populations who conceive spontaneously and those requiring assisted reproductive technology (ART). A systematic search and meta-analysis were performed for studies investigating dietary patterns or whole diets in reproductive aged women requiring ART or conceived naturally. Outcomes were live births, pregnancy rates and infertility rates. In amount of 15,396 studies were screened with 11 eligible studies. Ten different diet patterns were grouped broadly into categories: Mediterranean, Healthy or Unhealthy. For the Mediterranean diet, on excluding high risk-of-bias studies (n = 3), higher adherence was associated with improved live birth/pregnancy rates in ART [OR 1.91 (95% CI 1.14-3.19, I2 43%)] (n = 2). Adherence to various Healthy diets was associated with improved ART outcomes (ProFertility diet and Dutch Dietary Guidelines) and natural conception outcomes (Fertility diet). However, due to the variability in Healthy diets' components, results were not pooled. Studies demonstrated preliminary evidence for the role of dietary patterns or whole diets in improving pregnancy and live birth rates. However, due to heterogeneity across the literature it is currently unclear which diet patterns are associated with improvements in fertility and ART outcomes.
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Affiliation(s)
- Hugo G Winter
- Department of Obstetrics and Gynaecology, Monash University, Melbourne, VIC 3800, Australia
| | - Daniel L Rolnik
- Department of Obstetrics and Gynaecology, Monash University, Melbourne, VIC 3800, Australia
| | - Ben W J Mol
- Department of Obstetrics and Gynaecology, Monash University, Melbourne, VIC 3800, Australia
- Aberdeen Centre for Women's Health Research, Institute of Applied Health Sciences, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen AB24 3FX, UK
| | - Sophia Torkel
- Monash Centre for Health Research and Implementation (MCHRI), Monash University, Melbourne, VIC 3800, Australia
| | - Simon Alesi
- Monash Centre for Health Research and Implementation (MCHRI), Monash University, Melbourne, VIC 3800, Australia
| | - Aya Mousa
- Monash Centre for Health Research and Implementation (MCHRI), Monash University, Melbourne, VIC 3800, Australia
| | - Nahal Habibi
- Adelaide Medical School, The University of Adelaide, Adelaide, SA 5005, Australia
- Robinson Research Institute, The University of Adelaide, Adelaide, SA 5005, Australia
| | - Thais R Silva
- Postgraduate Program in Endocrinology and Metabolism, Universidade Federal do Rio Grande do Sul, Porto Alegre 90010-150, Brazil
| | - Tin Oi Cheung
- Adelaide Medical School, The University of Adelaide, Adelaide, SA 5005, Australia
| | - Chau Thien Tay
- Monash Centre for Health Research and Implementation (MCHRI), Monash University, Melbourne, VIC 3800, Australia
| | - Alejandra Quinteros
- Adelaide Medical School, The University of Adelaide, Adelaide, SA 5005, Australia
| | - Jessica A Grieger
- Adelaide Medical School, The University of Adelaide, Adelaide, SA 5005, Australia
- Robinson Research Institute, The University of Adelaide, Adelaide, SA 5005, Australia
| | - Lisa J Moran
- Monash Centre for Health Research and Implementation (MCHRI), Monash University, Melbourne, VIC 3800, Australia
- Robinson Research Institute, The University of Adelaide, Adelaide, SA 5005, Australia
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Tondro Anamag F, Noori M, Nejadghaderi SA, Sullman MJM, Grieger JA, Kolahi AA, Safiri S. Burden of cancers attributable to high fasting plasma glucose in the Middle East and North Africa region, 1990-2019. Cancer Med 2023; 12:10031-10044. [PMID: 36951550 PMCID: PMC10166946 DOI: 10.1002/cam4.5743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 02/12/2023] [Accepted: 02/13/2023] [Indexed: 03/24/2023] Open
Abstract
BACKGROUND The present study reported the cancer deaths and disability-adjusted life years (DALYs) that were attributable to high fasting plasma glucose (HFPG) in the Middle East and North Africa (MENA) region by country, age, sex, cancer type and Socio-demographic Index (SDI), from 1990 to 2019. METHODS Global Burden of Disease (GBD) 2019 data were used to report the cancer-related deaths and DALYs that were attributable to HFPG, for all MENA countries over the period 1990-2019. The results were presented as numbers, population attributable fractions (PAFs) and rates (per 100,000) with 95% uncertainty intervals. RESULTS In 2019, there were an estimated 19.8 thousand (5.5-40.2) cancer deaths attributable to HFPG in MENA, which represents 4.7% (1.3-9.3) of all cancer-related deaths. The number of regional DALYs due to HFPG-related cancers was 462.2 thousand (127.3-959.5), which represents 3.8% (1.1-7.6) of all cancer-related DALYs in 2019. From 1990 to 2019, the age-standardized DALY rate of cancers attributable to HFPG (per 100,000) grew from 56.3 (14.6-121.1) to 107.0 (29.8-220.8), which was a 90.1% (64.4-127.8) increase. In 2019, the highest age-standardized DALY rate of cancers attributable to HFPG was in Qatar (270.4) and the lowest was in Sudan (75.3). The DALY rate of cancers attributable to HFPG increased with age, peaking for males in the 70-74 age group and for females in the 75-79 age group, and then decreased for both sexes. A broadly positive relationship was found between the national SDI and the national age-standardized DALY rate of all cancers attributable to FPG over the measurement period. CONCLUSIONS The burden of HFPG-related cancers has increased over the past three decades in MENA, and was higher than the global average in multiple age groups. Implementing a battery of preventive measures and therapeutic interventions is suggested to address the adverse effects of this modifiable risk factor.
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Affiliation(s)
- Farhad Tondro Anamag
- Social Determinants of Health Research Center, Department of Community Medicine, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Maryam Noori
- Student Research Committee, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
- Urology Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Seyed Aria Nejadghaderi
- Research Center for Integrative Medicine in Aging, Aging Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran
- Systematic Review and Meta-analysis Expert Group (SRMEG), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Mark J M Sullman
- Department of Life and Health Sciences, University of Nicosia, Nicosia, Cyprus
- Department of Social Sciences, University of Nicosia, Nicosia, Cyprus
| | - Jessica A Grieger
- Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia
- Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia
| | - Ali-Asghar Kolahi
- Social Determinants of Health Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Saeid Safiri
- Social Determinants of Health Research Center, Department of Community Medicine, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
- Hematology and Oncology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
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11
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Oxlad M, Whitburn S, Grieger JA. The Complexities of Managing Gestational Diabetes in Women of Culturally and Linguistically Diverse Backgrounds: A Qualitative Study of Women's Experiences. Nutrients 2023; 15:nu15041053. [PMID: 36839411 PMCID: PMC9967365 DOI: 10.3390/nu15041053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 02/14/2023] [Accepted: 02/17/2023] [Indexed: 02/22/2023] Open
Abstract
AIM This study aimed to explore women's perspectives and experiences concerning how culture impacts the lifestyle management of gestational diabetes mellitus (GDM) in women of culturally and linguistically diverse (CALD) backgrounds. METHODS Women of any cultural background diagnosed with GDM within the previous 12 months were purposively recruited from two Australian metropolitan hospitals. Data collected using semi-structured interviews (n = 18) and focus groups (n = 15 women in three groups) were analysed using reflexive thematic analysis. RESULTS Three themes were generated: "cultural beliefs and obligations impact lifestyle management of gestational diabetes", which describes how some cultures lack awareness about GDM, and modifications or restrictions were viewed as depriving the infant, but sometimes adaptions could be made so that a culturally appropriate meal was suitable for GDM management; "the relationship between cultural foods and gestational diabetes management", which discusses how important cultural foods may be incompatible with appropriate GDM management, so women worked to find solutions; "gestational diabetes education lacks cultural awareness and sensitivity", which illustrates how current education fails to address differences in cultural beliefs, language and eating practices. CONCLUSION Cultural beliefs, obligations and food practices must be considered when assisting women of CALD backgrounds using lifestyle modification to manage GDM. GDM education must be culturally sensitive and competent and, where possible, be delivered by health professionals of a shared cultural group.
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Affiliation(s)
- Melissa Oxlad
- School of Psychology, The University of Adelaide, Adelaide, SA 5000, Australia
| | - Sharni Whitburn
- School of Psychology, The University of Adelaide, Adelaide, SA 5000, Australia
| | - Jessica A. Grieger
- Adelaide Medical School, The University of Adelaide, Adelaide, SA 5000, Australia
- Robinson Research Institute, The University of Adelaide, Adelaide, SA 5005, Australia
- Correspondence:
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12
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Safiri S, Noori M, Nejadghaderi SA, Shamekh A, Karamzad N, Sullman MJM, Grieger JA, Collins GS, Abdollahi M, Kolahi AA. The estimated burden of bulimia nervosa in the Middle East and North Africa region, 1990-2019. Int J Eat Disord 2023; 56:394-406. [PMID: 36301044 DOI: 10.1002/eat.23835] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 10/10/2022] [Accepted: 10/10/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE We aimed to report the burden of bulimia nervosa (BN) in the Middle East and North Africa (MENA) region by age, sex, and sociodemographic index (SDI), for the period 1990-2019. METHODS Estimates of the prevalence, incidence, and disability-adjusted life-years (DALYs) attributable to BN were retrieved from the Global Burden of Disease study 2019, between 1990 and 2019, for the 21 countries in the MENA region. The counts and age-standardized rates (per 100,000) were presented, along with their corresponding 95% uncertainty intervals. RESULTS In 2019, the estimated regional age-standardized point prevalence and incidence rates of BN were 168.3 (115.0-229.6) and 178.6 (117.0-255.6) per 100,000, which represented 22.0% (17.5-27.2) and 10.4% (7.1-14.7) increases, respectively, since 1990. Moreover, in 2019 the regional age-standardized DALY rate was 35.5 (20.6-55.5) per 100,000, which was 22.2% (16.7-28.2) higher than in 1990. In 2019, Qatar (58.6 [34.3-92.5]) and Afghanistan (18.4 [10.6-29.2]) had the highest and lowest age-standardized DALY rates, respectively. Regionally, the age-standardized point prevalence of BN peaked in the 30-34 age group and was more prevalent among women. In addition, there was a generally positive association between SDI and the burden of BN across the measurement period. DISCUSSION In the MENA region, the burden of BN has increased over the last three decades. Cost-effective preventive measures are needed in the region, especially in the high SDI countries. PUBLIC SIGNIFICANCE This study reports the estimated burden of BN in the MENA region and shows that its burden has increased over the last three decades.
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Affiliation(s)
- Saeid Safiri
- Research Center for Integrative Medicine in Aging, Aging Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran.,Department of Community Medicine, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Maryam Noori
- Student Research Committee, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Seyed Aria Nejadghaderi
- Research Center for Integrative Medicine in Aging, Aging Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran.,Systematic Review and Meta-analysis Expert Group (SRMEG), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Ali Shamekh
- Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Nahid Karamzad
- Nutrition Research Center, Department of Biochemistry and Diet Therapy, School of Nutrition and Food Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Mark J M Sullman
- Department of Life and Health Sciences, University of Nicosia, Nicosia, Cyprus.,Department of Social Sciences, University of Nicosia, Nicosia, Cyprus
| | - Jessica A Grieger
- Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia.,Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia
| | - Gary S Collins
- Centre for Statistics in Medicine, NDORMS, Botnar Research Centre, University of Oxford, Oxford, UK
| | - Morteza Abdollahi
- Social Determinants of Health Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Ali-Asghar Kolahi
- Social Determinants of Health Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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13
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Kazemi M, Kim JY, Wan C, Xiong JD, Michalak J, Xavier IB, Ganga K, Tay CT, Grieger JA, Parry SA, Moran LJ, Lujan ME. Comparison of dietary and physical activity behaviors in women with and without polycystic ovary syndrome: a systematic review and meta-analysis of 39 471 women. Hum Reprod Update 2022; 28:910-955. [PMID: 35639552 PMCID: PMC9629501 DOI: 10.1093/humupd/dmac023] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 04/08/2022] [Indexed: 09/21/2023] Open
Abstract
BACKGROUND Lifestyle (dietary and/or physical activity [PA]) modification is recommended as first-line therapy to manage polycystic ovary syndrome (PCOS). Current recommendations are based on healthy lifestyle practices for the general public since evidence for unique lifestyle approaches in PCOS is limited and low quality. OBJECTIVE AND RATIONALE We aimed to synthesize evidence on dietary and PA behaviors between women with PCOS and those without PCOS. Primary outcomes were overall diet quality, total energy intake and total PA, and secondary outcomes included macronutrients, micronutrients, food groups, foods, glycemic indices, sedentary time and sitting levels. We conducted this work to identify any unique lifestyle behaviors in women with PCOS that could underlie the propensity of weight gain and obesity in PCOS and be targeted for precision nutrition and PA interventions. These findings could be used to inform future practice recommendations and research that more effectively address complications (weight gain, obesity, diabetes, infertility, cardiovascular disease and mental health) in this high-risk population. SEARCH METHODS Databases of MEDLINE, Web of Science, Scopus and CINAHL were searched until 15 February 2022 to identify observational studies documenting dietary and PA behaviors between women with PCOS and without PCOS (Controls). Studies on children, adolescents (<18 years), pregnant or menopausal-aged women (>50 years) were excluded. Data were pooled by random-effects models and expressed as (standardized) mean differences (MD) and 95% CIs. The risk of bias was assessed by the Newcastle-Ottawa scale (NOS). OUTCOMES Fifty-four studies (N = 39 471 participants; [n = 8736 PCOS; 30 735 Controls]) were eligible (96%; [52/54] NOS scores ≥ 7). Women with PCOS had higher cholesterol (MD: 12.78, 95% CI: 1.48 to 24.08 mg/day; P = 0.03; I2 = 19%), lower magnesium (MD: -21.46, 95% CI: -41.03 to -1.91 mg/day; P = 0.03; I2 = 76%), and a tendency for lower zinc (MD: -1.08, 95% CI: -2.19 to -0.03 mg/day; P = 0.05; I2 = 96%) intake, despite lower alcohol consumption (MD: -0.95, 95% CI: -1.67 to 0.22 g/day; P = 0.02; I2 = 0%) versus Controls. Also, women with PCOS had lower total PA (standardized mean difference: -0.38, 95% CI: -0.72 to 0.03; P = 0.03; I2 = 98%). Conversely, energy, macronutrients (carbohydrate, fat, protein, fiber), micronutrients (folic acid, iron, calcium, sodium), glycemic index and glycemic load were similar (all: P ≥ 0.06). Most eligible studies reported lower total adherence to healthy eating patterns or poorer consumption of major food groups (grains, fruits, vegetables, proteins, seeds, nuts, dairy) in women with PCOS, as described narratively since variable study methodology did not permit meta-analyses. WIDER IMPLICATIONS Collective evidence supports that women with PCOS have a lower overall diet quality, poorer dietary intakes (higher cholesterol, lower magnesium and zinc) and lower total PA, despite lower alcohol consumption versus those without PCOS. Considerable heterogeneity among studies reinforces the need for research to address any relative contributions of other factors (e.g. genetic, metabolic or sociodemographic) to the observed differences. These clarifications may contribute to future evidence-based guideline recommendations on monitoring and managing PCOS in the era of precision lifestyle medicine.
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Affiliation(s)
- Maryam Kazemi
- Division of Nutritional Sciences, Human Metabolic Research Unit, Cornell University, Ithaca, NY, USA
- Hilda and J. Lester Gabrilove Division of Endocrinology, Diabetes, and Bone Disease, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Joy Y Kim
- Division of Nutritional Sciences, Human Metabolic Research Unit, Cornell University, Ithaca, NY, USA
| | - Cynthia Wan
- Division of Nutritional Sciences, Human Metabolic Research Unit, Cornell University, Ithaca, NY, USA
| | - Julia D Xiong
- Division of Nutritional Sciences, Human Metabolic Research Unit, Cornell University, Ithaca, NY, USA
| | - Julia Michalak
- Division of Nutritional Sciences, Human Metabolic Research Unit, Cornell University, Ithaca, NY, USA
| | - Isabella B Xavier
- Division of Nutritional Sciences, Human Metabolic Research Unit, Cornell University, Ithaca, NY, USA
| | - Kiran Ganga
- Division of Nutritional Sciences, Human Metabolic Research Unit, Cornell University, Ithaca, NY, USA
| | - Chau Thien Tay
- Monash Centre for Health Research and Implementation (MCHRI), School of Public Health and Preventive Medicine, Monash University, Clayton, Australia
| | - Jessica A Grieger
- Robinson Research Institute, University of Adelaide, North Adelaide, SA, Australia
- Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia
| | - Stephen A Parry
- Cornell Statistical Consulting Unit, Cornell University, Ithaca, NY, USA
| | - Lisa J Moran
- Monash Centre for Health Research and Implementation (MCHRI), School of Public Health and Preventive Medicine, Monash University, Clayton, Australia
- Robinson Research Institute, University of Adelaide, North Adelaide, SA, Australia
| | - Marla E Lujan
- Division of Nutritional Sciences, Human Metabolic Research Unit, Cornell University, Ithaca, NY, USA
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14
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Schoenaker DAJM, Bennett C, Grieger JA, Harrison CL, Hill B, Enticott J, Moran LJ, Teede HJ, O’Reilly SL, Lim S. Association between pregnancy intention and psychological distress among women exposed to different levels of restrictions during the COVID-19 pandemic in Australia. PLoS One 2022; 17:e0273339. [PMID: 36006931 PMCID: PMC9409515 DOI: 10.1371/journal.pone.0273339] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 08/06/2022] [Indexed: 11/19/2022] Open
Abstract
Background The COVID-19 pandemic has had a negative impact on the mental health of people globally. Significant concerns about health and access to services among women of reproductive age considering pregnancy may cause psychological distress, and in turn increase health risks during and after pregnancy for mothers and offspring. Objectives To examine the association between pregnancy intention and psychological distress during the COVID-19 pandemic in Australia, and explore if this association differed based on local viral transmission rates and corresponding levels of pandemic restrictions. Methods A nationwide online survey was completed by 849 non-pregnant women aged 18–50 years between 15 October and 7 November 2020. Women were asked about their intention to become pregnant, and psychological distress was assessed using the Kessler Psychological Distress Scale (K10). Multivariable regression analysis examined associations between pregnancy intention and psychological distress. An interaction term was added to the model to examine differences in associations by level of viral transmission rates and lockdown restrictions which was determined based on postcode. Results Pregnancy intention was not associated with experiencing (very) high psychological distress in the overall study population (odds ratio (OR) 1.42, 95% CI 0.94, 2.11). The interaction term (p = 0.09) suggested potential differences by level of restrictions and viral transmission rates. In stratified analysis among women living in a location with strict lockdown restrictions and high viral transmission rates leading up to and during the study, those planning to become pregnant were more likely to experience (very) high psychological distress (OR 3.39, 2.04, 5.65) compared with women not planning to become pregnant. Pregnancy intention was not associated with psychological distress among women exposed to lower levels of pandemic restrictions and viral transmission rates (OR 1.17, 0.74, 1.85). Conclusions Our findings highlight the need to identify and support women planning pregnancy during a public health crisis to mitigate potential short- and long-term intergenerational negative health outcomes associated with psychological distress.
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Affiliation(s)
- Danielle A. J. M. Schoenaker
- School of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
- * E-mail:
| | - Christie Bennett
- Department of Nutrition, Dietetics and Food, School of Clinical Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, VIC, Australia
| | - Jessica A. Grieger
- Robinson Research Institute, University of Adelaide, North Adelaide, SA, Australia
- Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia
| | - Cheryce L. Harrison
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, VIC, Australia
| | - Briony Hill
- Health and Social Care Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Joanne Enticott
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, VIC, Australia
- Department of Psychiatry, Southern Synergy, Monash University, Clayton, VIC, Australia
| | - Lisa J. Moran
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, VIC, Australia
| | - Helena J. Teede
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, VIC, Australia
| | - Sharleen L. O’Reilly
- UCD Institute of Food and Health, School of Agriculture and Food Science, University College Dublin, Belfield, Dublin, Ireland
| | - Siew Lim
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, VIC, Australia
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15
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Habibi N, Mousa A, Tay CT, Khomami MB, Patten RK, Andraweera PH, Wassie M, Vandersluys J, Aflatounian A, Bianco‐Miotto T, Zhou SJ, Grieger JA. Maternal metabolic factors and the association with gestational diabetes: A systematic review and meta-analysis. Diabetes Metab Res Rev 2022; 38:e3532. [PMID: 35421281 PMCID: PMC9540632 DOI: 10.1002/dmrr.3532] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 01/10/2022] [Accepted: 02/26/2022] [Indexed: 11/10/2022]
Abstract
Gestational diabetes (GDM) is associated with several adverse outcomes for the mother and child. Higher levels of individual lipids are associated with risk of GDM and metabolic syndrome (MetS), a clustering of risk factors also increases risk for GDM. Metabolic factors can be modified by diet and lifestyle. This review comprehensively evaluates the association between MetS and its components, measured in early pregnancy, and risk for GDM. Databases (Cumulative Index to Nursing and Allied Health Literature, PubMed, Embase, and Cochrane Library) were searched from inception to 5 May 2021. Eligible studies included ≥1 metabolic factor (waist circumference, blood pressure, fasting plasma glucose (FPG), triglycerides, and high-density lipoprotein cholesterol), measured at <16 weeks' gestation. At least two authors independently screened potentially eligible studies. Heterogeneity was quantified using I2 . Data were pooled by random-effects models and expressed as odds ratio and 95% confidence intervals (CIs). Of 7213 articles identified, 40 unique articles were included in meta-analysis. In analyses adjusting for maternal age and body mass index, GDM was increased with increasing FPG (odds ratios [OR] 1.92; 95% CI 1.39-2.64, k = 7 studies) or having MetS (OR 2.52; 1.65, 3.84, k = 3). Women with overweight (OR 2.17; 95% CI 1.89, 2.50, k = 12) or obesity (OR 4.34; 95% CI 2.79-6.74, k = 9) also were at increased risk for GDM. Early pregnancy assessment of glucose or the MetS, offers a potential opportunity to detect and treat individual risk factors as an approach towards GDM prevention; weight loss for pregnant women with overweight or obesity is not recommended. Systematic review registration: PROSPERO CRD42020199225.
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Affiliation(s)
- Nahal Habibi
- Robinson Research InstituteUniversity of AdelaideAdelaideSouth AustraliaAustralia
- Adelaide Medical SchoolUniversity of AdelaideAdelaideSouth AustraliaAustralia
| | - Aya Mousa
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash UniversityMelbourneVictoriaAustralia
| | - Chau Thien Tay
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash UniversityMelbourneVictoriaAustralia
| | - Mahnaz Bahri Khomami
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash UniversityMelbourneVictoriaAustralia
| | - Rhiannon K. Patten
- Institute for Health and SportVictoria UniversityMelbourneVictoriaAustralia
| | - Prabha H. Andraweera
- Robinson Research InstituteUniversity of AdelaideAdelaideSouth AustraliaAustralia
- Adelaide Medical SchoolUniversity of AdelaideAdelaideSouth AustraliaAustralia
- Department of Cardiology, Lyell McEwin HospitalElizabeth ValeSouth AustraliaAustralia
| | - Molla Wassie
- School of Agriculture, Food and Wine, and Waite Research Institute, University of AdelaideAdelaideSouth AustraliaAustralia
| | - Jared Vandersluys
- School of Agriculture, Food and Wine, and Waite Research Institute, University of AdelaideAdelaideSouth AustraliaAustralia
| | - Ali Aflatounian
- School of Women's and Children's Health, University of New South WalesSydneyNew South WalesAustralia
| | - Tina Bianco‐Miotto
- Robinson Research InstituteUniversity of AdelaideAdelaideSouth AustraliaAustralia
- School of Agriculture, Food and Wine, and Waite Research Institute, University of AdelaideAdelaideSouth AustraliaAustralia
| | - Shao J. Zhou
- Robinson Research InstituteUniversity of AdelaideAdelaideSouth AustraliaAustralia
- School of Agriculture, Food and Wine, and Waite Research Institute, University of AdelaideAdelaideSouth AustraliaAustralia
| | - Jessica A. Grieger
- Robinson Research InstituteUniversity of AdelaideAdelaideSouth AustraliaAustralia
- Adelaide Medical SchoolUniversity of AdelaideAdelaideSouth AustraliaAustralia
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16
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Hume C, Grieger JA, Kalamkarian A, D'Onise K, Smithers LG. Community gardens and their effects on diet, health, psychosocial and community outcomes: a systematic review. BMC Public Health 2022; 22:1247. [PMID: 35739494 PMCID: PMC9229094 DOI: 10.1186/s12889-022-13591-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 03/15/2022] [Indexed: 11/26/2022] Open
Abstract
Background We systematically reviewed the effects of community gardens on physical and psychosocial health, health behaviors and community outcomes. Methods Quantitative studies that examined associations of health, psychosocial or community outcomes with community gardens were included in the review. Studies up to December 2020 were captured from searches of Medline, Web of Science, PsycInfo, EBSCOHost and CAB Abstracts. Data were extracted and study quality including risk of bias was examined. Results There were 53 studies that met the inclusion criteria. Studies examining associations between community gardens and nutrition or food security were most frequently reported (k = 23). Other factors examined for associations with community gardens were health (k = 16), psychosocial (k = 16) and community outcomes (k = 7). Effects appeared positive for fruit and vegetable intake, some psychosocial and community outcomes, but mixed for physical health outcomes. Evidence quality overall was low. Conclusions Community gardening was associated with higher fruit and vegetable intake, positive psychosocial and community outcomes, but poor evidence quality suggests the effects of community gardening may be overestimated. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-022-13591-1.
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Affiliation(s)
- Clare Hume
- School of Public Health, University of Adelaide, Adelaide, 5000, Australia.
| | - Jessica A Grieger
- Adelaide Medical School, North Terrace, University of Adelaide, Adelaide, SA, 5000, Australia.,Robinson Research Institute, University of Adelaide, North Adelaide, SA, 5006, Australia
| | - Anna Kalamkarian
- School of Public Health, University of Adelaide, Adelaide, 5000, Australia
| | - Katina D'Onise
- School of Public Health, University of Adelaide, Adelaide, 5000, Australia.,Wellbeing SA, Citicentre, Hindmarsh Square, Adelaide, SA, 5000, Australia
| | - Lisa G Smithers
- School of Public Health, University of Adelaide, Adelaide, 5000, Australia.,Robinson Research Institute, University of Adelaide, North Adelaide, SA, 5006, Australia.,School of Health and Society, University of Wollongong, Wollongong, NSW, 2522, Australia
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17
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Hanks AJ, Hume C, Lim S, Grieger JA. The Perspectives of Diabetes Educators and Dietitians on Diet and Lifestyle Management for Gestational Diabetes Mellitus: A Qualitative Study. J Diabetes Res 2022; 2022:3542375. [PMID: 35782628 PMCID: PMC9242803 DOI: 10.1155/2022/3542375] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Revised: 05/13/2022] [Accepted: 06/13/2022] [Indexed: 12/31/2022] Open
Abstract
This study explores the knowledge and practice of diabetes educators and dietitians on diet and lifestyle management in women with gestational diabetes mellitus (GDM). Diabetes educators and dietitians were recruited from three maternity hospitals in Adelaide (Australia), through snowball and purposive sampling. Thirteen semistructured interviews were conducted, audio recorded, transcribed verbatim, and analysed for codes and themes. Four themes emerged: guidelines and resources, dietary intervention, management delivery, and communication. Diabetes educators and dietitians demonstrated consistent knowledge of nutritional management for GDM and uniform delivery methods. However, a lack of culturally diverse resources was highlighted, along with a lack of continuity of care across the multidisciplinary team. Barriers towards uptake of dietary intervention were reflected by diabetes educators and dietitians as women showing signs of guilt and stress and disengaging from the service. Further exploration on the knowledge and practice of diabetes educators and dietitians for GDM to best inform implementation strategies for knowledge translation of nutritional management is needed. The indication of language and cultural barriers and resources highlight an ongoing key priority area to support the care of women of ethnic minorities.
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Affiliation(s)
- Amber J. Hanks
- School of Public Health, University of Adelaide, Adelaide 5000, Australia
- Adelaide Medical School, University of Adelaide, Adelaide, SA 5005, Australia
| | - Clare Hume
- School of Public Health, University of Adelaide, Adelaide 5000, Australia
- Adelaide Medical School, University of Adelaide, Adelaide, SA 5005, Australia
| | - Siew Lim
- Monash Centre for Health Research and Implementation, Monash University, Clayton 3168, Australia
| | - Jessica A. Grieger
- Adelaide Medical School, University of Adelaide, Adelaide, SA 5005, Australia
- Robinson Research Institute, University of Adelaide, Adelaide, SA 5005, Australia
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18
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McPherson NO, Vincent AD, Zander-Fox D, Grieger JA. Birthweight associations with parental obesity: retrospective analysis of 1,778 singleton term births following assisted reproductive treatment. F S Rep 2021; 2:405-412. [PMID: 34934980 PMCID: PMC8655430 DOI: 10.1016/j.xfre.2021.04.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2020] [Revised: 03/24/2021] [Accepted: 04/24/2021] [Indexed: 11/06/2022] Open
Abstract
Objective To determine the association of combined parental preconception overweight and obesity on infant birthweight. Design Retrospective study of fresh in vitro fertilization or intracytoplasmic sperm injection cycles (2009–2017). Setting Repromed, South Australia, assisted reproductive technology clinic. Patients Couples undergoing in vitro fertilization/intracytoplasmic sperm injection insemination with their own gametes and transfer of a fresh single blastocyst (N = 1,778). Intervention(s) None. Main Outcome Measures Parental body mass index (BMI) was recorded prior to cycle initiation. Infant birthweight was recorded at delivery. The impact of parental obesity and their interaction on first singleton term (≥37 weeks’ gestation) birthweight was assessed using linear regressions assessing nonlinearity and a pairwise linear interactions. Results In the base model where parental BMI is assumed linear, there was strong evidence for higher birthweight with increasing maternal BMI (11.2 g per maternal kg/m2; 95% confidence interval, 7.2, 15.1) but not paternal BMI. The inclusion of a pairwise linear interaction indicated that paternal BMI attenuates the positive association between maternal BMI and infant birthweight (interaction −0.88; 95% confidence interval, −1.49, −0.27). The inclusion of nonlinear maternal BMI terms did not change the conclusions. Conclusions Increases in the mean infant birthweight associated with maternal obesity are attenuated when the father is obese. While maternal BMI contributed more to the mean infant birthweight than paternal BMI, a couple-centered approach to preconception health advice is recommended, given the documented relationships between parental obesity and childhood weight beyond infancy. Further studies in both assisted reproductive technology and general population cohorts assessing the parental BMI interaction on infant birthweight are warranted.
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Affiliation(s)
- Nicole O McPherson
- Freemasons Center for Male Health and Wellbeing, University of Adelaide, South Australia, Australia.,Robinson Research Institute, University of Adelaide, South Australia, Australia.,Repromed, Dulwich, South Australia, Australia.,Faculty of Health and Medical Sciences, University of Adelaide, South Australia, Australia
| | - Andrew D Vincent
- Freemasons Center for Male Health and Wellbeing, University of Adelaide, South Australia, Australia.,Faculty of Health and Medical Sciences, University of Adelaide, South Australia, Australia.,South Australian Health and Medical Research Institute, South Australia, Australia
| | - Deirdre Zander-Fox
- Robinson Research Institute, University of Adelaide, South Australia, Australia.,Repromed, Dulwich, South Australia, Australia.,Monash IVF Group, Clayton, Victoria, Australia.,Faculty of Science, Monash University, Clayton, Victoria, Australia.,Future Industries Institute, University of South Australia, Mawson Lakes, South Australia, Australia
| | - Jessica A Grieger
- Robinson Research Institute, University of Adelaide, South Australia, Australia.,Faculty of Health and Medical Sciences, University of Adelaide, South Australia, Australia
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19
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Barsby JP, Cowley JM, Leemaqz SY, Grieger JA, McKeating DR, Perkins AV, Bastian SEP, Burton RA, Bianco-Miotto T. Nutritional properties of selected superfood extracts and their potential health benefits. PeerJ 2021; 9:e12525. [PMID: 34900436 PMCID: PMC8628624 DOI: 10.7717/peerj.12525] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Accepted: 10/29/2021] [Indexed: 11/20/2022] Open
Abstract
Background The term 'superfoods' is used to market foods considered to have significant health benefits. 'Superfoods' are claimed to prevent diseases as well as improving overall health, though the lack of explicit criteria means that any food can be labelled 'super' without support from scientific research. Typically, these 'superfoods' are rich in a particular nutrient for example antioxidants or omega-3 fatty acids. The objective of this study was to investigate the nutritional properties of a selection of superfood seeds: flax, chia, hulled sunflower and two types of processed hemp seeds and determine whether they may have potential health benefits. Methods We developed a simple aqueous extraction method for ground seeds and analysed their composition by mineral, protein and monosaccharide analyses. Cell viability assays were performed on Caco-2 and IEC-6 intestinal epithelial cells using increasing doses of the prepared extracts. Results Increased cell viability was observed in both cell lines with increasing concentrations of the flax seed, chia seed or hulled sunflower extracts (P < 0.05). Compositional analyses revealed the presence of polysaccharides, proteins and essential minerals in the aqueous extracts and in vitro assays showed sunflower had the highest antioxidant activity. However, differences in extract composition and antioxidant properties could not be directly related to the observed increase in cell viability suggesting that other components in the extracts may be responsible. Future studies will further characterize these extracts and investigate whether they are beneficial for gastrointestinal health.
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Affiliation(s)
- Jacqueline P Barsby
- Waite Research Institute and School of Agriculture, Food and Wine, University of Adelaide, Adelaide, SA, Australia.,Robinson Research Institute, University of Adelaide, Adelaide, SA, Australia
| | - James M Cowley
- Waite Research Institute and School of Agriculture, Food and Wine, University of Adelaide, Adelaide, SA, Australia
| | - Shalem Y Leemaqz
- Robinson Research Institute, University of Adelaide, Adelaide, SA, Australia.,College of Medicine and Public Health, Flinders University of South Australia, Bedford Park, SA, Australia
| | - Jessica A Grieger
- Robinson Research Institute, University of Adelaide, Adelaide, SA, Australia.,Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia
| | - Daniel R McKeating
- School of Medical Science, Griffith University, Southport, QLD, Australia
| | - Anthony V Perkins
- School of Medical Science, Griffith University, Southport, QLD, Australia
| | - Susan E P Bastian
- Waite Research Institute and School of Agriculture, Food and Wine, University of Adelaide, Adelaide, SA, Australia
| | - Rachel A Burton
- Waite Research Institute and School of Agriculture, Food and Wine, University of Adelaide, Adelaide, SA, Australia
| | - Tina Bianco-Miotto
- Waite Research Institute and School of Agriculture, Food and Wine, University of Adelaide, Adelaide, SA, Australia.,Robinson Research Institute, University of Adelaide, Adelaide, SA, Australia
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20
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Safiri S, Kolahi AA, Noori M, Nejadghaderi SA, Karamzad N, Bragazzi NL, Sullman MJM, Abdollahi M, Collins GS, Kaufman JS, Grieger JA. Burden of anemia and its underlying causes in 204 countries and territories, 1990-2019: results from the Global Burden of Disease Study 2019. J Hematol Oncol 2021; 14:185. [PMID: 34736513 PMCID: PMC8567696 DOI: 10.1186/s13045-021-01202-2] [Citation(s) in RCA: 112] [Impact Index Per Article: 37.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 10/25/2021] [Indexed: 02/08/2023] Open
Abstract
Background Anemia is a common disease which affects around 40% of children and 30% of reproductive age women and can have major health consequences. The present study reports the global, regional and national burden of anemia and its underlying causes between 1990 and 2019, by age, sex and socio-demographic index (SDI). Methods Publicly available data on the point prevalence and years lived with disability (YLDs) were retrieved from the global burden of disease (GBD) 2019 study for 204 countries and territories between 1990 and 2019. The point prevalence, YLD counts and rates per 100,000 population were presented, along with their corresponding 95% uncertainty intervals. Results In 2019, the global age-standardized point prevalence and YLD rates for anemia were 23,176.2 (22,943.5–23,418.6) and 672.4 (447.2–981.5) per 100,000 population, respectively. Moreover, the global age-standardized point prevalence and YLD rate decreased by 13.4% (12.1–14.5%) and 18.8% (16.9–20.8%), respectively, over the period 1990–2019. The highest national point prevalences of anemia were found in Zambia [49327.1 (95% UI: 46,838.5–51,700.1)], Mali [46890.1 (95% UI: 44,301.1–49,389.8)], and Burkina Faso [46117.2 (95% UI: 43,640.7–48,319.2)]. In 2019, the global point prevalence of anemia was highest in the 15–19 and 95+ age groups in females and males, respectively. Also, the burden of anemia was lower in regions with higher socio-economic development. Globally, most of the prevalent cases were attributable to dietary iron deficiency, as well as hemoglobinopathies and hemolytic anemias. Conclusions Anemia remains a major health problem, especially among females in less developed countries. The implementation of preventive programs with a focus on improving access to iron supplements, early diagnosis and the treatment of hemoglobinopathies should be taken into consideration. Supplementary Information The online version contains supplementary material available at 10.1186/s13045-021-01202-2.
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Affiliation(s)
- Saeid Safiri
- Research Center for Integrative Medicine in Aging, Aging Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran. .,Social Determinants of Health Research Center, Department of Community Medicine, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
| | - Ali-Asghar Kolahi
- Social Determinants of Health Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Maryam Noori
- Student Research Committee, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Seyed Aria Nejadghaderi
- School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.,Systematic Review and Meta-analysis Expert Group (SRMEG), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Nahid Karamzad
- Nutrition Research Center, Department of Biochemistry and Diet Therapy, School of Nutrition and Food Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
| | | | - Mark J M Sullman
- Department of Life and Health Sciences, University of Nicosia, Nicosia, Cyprus.,Department of Social Sciences, University of Nicosia, Nicosia, Cyprus
| | - Morteza Abdollahi
- Social Determinants of Health Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Gary S Collins
- Centre for Statistics in Medicine, NDORMS, Botnar Research Centre, University of Oxford, Oxford, UK.,NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Jay S Kaufman
- Department of Epidemiology, Biostatistics and Occupational Health, Faculty of Medicine, McGill University, Montreal, QC, Canada
| | - Jessica A Grieger
- Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia.,Robinson Research Institute, University of Adelaide, Adelaide, SA, Australia
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21
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Grieger JA, Leemaqz SY, Knight EJ, Grzeskowiak LE, McCowan LM, Dekker GA, Roberts CT. Relative importance of metabolic syndrome components for developing gestational diabetes. Arch Gynecol Obstet 2021; 305:995-1002. [PMID: 34655325 DOI: 10.1007/s00404-021-06279-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Accepted: 10/01/2021] [Indexed: 11/24/2022]
Abstract
PURPOSE To assess the independent and joint contribution of the individual components of metabolic syndrome, and known risk factors for gestational diabetes (GDM), on risk of GDM. METHODS Two thousand nine hundred and fifteen women from Australia and New Zealand, who participated in The Screening for Pregnancy Endpoints Study (SCOPE), were included. Using the SCOPE clinical data set and biomarkers obtained at 14-16 weeks' gestation, a logistic regression model was fitted to the binary outcome GDM, with individual metabolic syndrome components (waist circumference, blood pressure, glucose, HDL-C, triglycerides), recruitment site, and other established factors associated with GDM. Hierarchical partitioning was used to assess the relative contribution of each variable. RESULTS Of the 2915 women, 103 women (3.5%) developed GDM. The deviance explained by the logistic regression model containing all variables was 18.65% and the AUC was 0.809. Seventy percent of the independent effect was accounted for by metabolic syndrome components. The highest independent relative contribution to GDM was circulating triglycerides (17 ± 3%), followed by waist circumference (13 ± 3%). Glucose and maternal BMI contributed 12 ± 2% and 12 ± 3%, respectively. The remaining factors had an independent relative contribution of < 10%. CONCLUSION Triglyceride concentrations had the highest independent relative importance for risk of GDM. Increased focus for lowering triglycerides as an important risk factor for GDM is warranted.
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Affiliation(s)
- Jessica A Grieger
- Robinson Research Institute, University of Adelaide, North Adelaide, SA, 5000, Australia. .,Adelaide Medical School, University of Adelaide, Adelaide, SA, 5000, Australia.
| | - Shalem Y Leemaqz
- Robinson Research Institute, University of Adelaide, North Adelaide, SA, 5000, Australia.,Adelaide Medical School, University of Adelaide, Adelaide, SA, 5000, Australia.,Flinders Health and Medical Research Institute, Flinders University, Bedford Park, SA, Australia
| | - Emma J Knight
- School of Public Health, University of Adelaide, Adelaide, SA, Australia
| | - Luke E Grzeskowiak
- Robinson Research Institute, University of Adelaide, North Adelaide, SA, 5000, Australia.,Adelaide Medical School, University of Adelaide, Adelaide, SA, 5000, Australia.,Flinders Health and Medical Research Institute, Flinders University, Bedford Park, SA, Australia
| | - Lesley M McCowan
- Department of Obstetrics and Gynaecology, University of Auckland, Auckland, New Zealand
| | - Gustaaf A Dekker
- Robinson Research Institute, University of Adelaide, North Adelaide, SA, 5000, Australia.,Adelaide Medical School, University of Adelaide, Adelaide, SA, 5000, Australia.,Women and Children's Division, Lyell McEwin Hospital, Adelaide, SA, Australia
| | - Claire T Roberts
- Robinson Research Institute, University of Adelaide, North Adelaide, SA, 5000, Australia.,Adelaide Medical School, University of Adelaide, Adelaide, SA, 5000, Australia.,Flinders Health and Medical Research Institute, Flinders University, Bedford Park, SA, Australia
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22
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Schneider AK, Leemaqz SY, Dalton J, Verburg PE, Mol BW, Dekker GA, Roberts CT, Grieger JA. The interaction between metabolic syndrome and physical activity, and risk for gestational diabetes mellitus. Acta Diabetol 2021; 58:939-947. [PMID: 33743081 DOI: 10.1007/s00592-021-01696-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2020] [Accepted: 02/25/2021] [Indexed: 11/29/2022]
Abstract
AIMS Metabolic syndrome (MetS) is a cluster of risk factors which increases risk of cardiometabolic diseases in the adult population and increases risk for pregnancy complications such as gestational diabetes mellitus (GDM). Epidemiological data indicate that moderate-to-high levels of physical activity reduces the risk for GDM. The study aims to determine whether the association between MetS and GDM is affected by physical activity. METHODS We performed a prospective cohort study among 1373 pregnant nulliparous women in Adelaide, South Australia. At 9-16 weeks' gestation, demographic, lifestyle and self-reported frequencies of physical activity were obtained, and a non-fasting blood sample was taken for assessment of MetS, defined using the International Diabetes Federation criteria. GDM was diagnosed at 24-28 weeks' gestation using the World Health Organization classification. RESULTS 1158 pregnant women were included: 107 (9%) women had MetS in early pregnancy, and 184 (16%) developed GDM. Having MetS increased the risk of developing GDM (37.4% vs. 13.7%, adjusted RR 2.5; 95% CI 1.7, 3.6). The interaction effect (RR; (95% CI) between MetS and physical activity was not significant (vigorous physical activity: 2.60; 0.46, 14.71) for ≥ 4 times per week; less vigorous activity; 0.77; 0.15, 4.02 for ≥ 4 times per week; stair climbing ≥ once day (1.16; 0.54, 2.51), all compared to no physical activity). CONCLUSIONS Physical activity was not an effect modifier in the association between GDM and MetS. Information collected about the nature and extent of physical activity needs to be more detailed and granular to determine whether physical activity really has an effect.
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Affiliation(s)
- Ashleigh K Schneider
- Robinson Research Institute, University of Adelaide, North Adelaide, 5005, Australia
- Adelaide Medical School, University of Adelaide, Adelaide, 5005, Australia
| | - Shalem Y Leemaqz
- Robinson Research Institute, University of Adelaide, North Adelaide, 5005, Australia
- Adelaide Medical School, University of Adelaide, Adelaide, 5005, Australia
- Flinders Health and Medical Research Institute, Flinders University, Bedford Park, 5042, Australia
| | - Julia Dalton
- Robinson Research Institute, University of Adelaide, North Adelaide, 5005, Australia
- Women and Children's Division, Lyell McEwin Hospital, University of Adelaide, Adelaide, 5112, Australia
| | - Petra E Verburg
- Robinson Research Institute, University of Adelaide, North Adelaide, 5005, Australia
- Adelaide Medical School, University of Adelaide, Adelaide, 5005, Australia
| | - Ben W Mol
- Department of Obstetrics and Gynaecology, Monash University, Clayton, 3168, Australia
- Aberdeen Centre for Women's Health Research, School of Medicine, University of Aberdeen, Aberdeen, UK
| | - Gus A Dekker
- Robinson Research Institute, University of Adelaide, North Adelaide, 5005, Australia
- Women and Children's Division, Lyell McEwin Hospital, University of Adelaide, Adelaide, 5112, Australia
| | - Claire T Roberts
- Robinson Research Institute, University of Adelaide, North Adelaide, 5005, Australia
- Adelaide Medical School, University of Adelaide, Adelaide, 5005, Australia
- Flinders Health and Medical Research Institute, Flinders University, Bedford Park, 5042, Australia
| | - Jessica A Grieger
- Robinson Research Institute, University of Adelaide, North Adelaide, 5005, Australia.
- Adelaide Medical School, University of Adelaide, Adelaide, 5005, Australia.
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23
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Habibi N, Bianco-Miotto T, Phoi YY, Jankovic-Karasoulos T, Roberts CT, Grieger JA. Maternal diet and offspring telomere length: a systematic review. Nutr Rev 2021; 79:148-159. [PMID: 32968801 DOI: 10.1093/nutrit/nuaa097] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
CONTEXT Many studies assert a negative influence of inappropriate maternal diet and nutritional status during pregnancy on offspring, not only in utero but throughout life, because of the role in the programing of noncommunicable diseases. Telomere length is a biomarker of aging, and shorter telomeres are associated with chronic disease later in life. Maternal nutrition and nutritional status may be an important determinant of offspring telomere length. OBJECTIVE A systematic review was conducted to determine the effect of maternal nutrition and nutritional status in pregnancy on offspring telomere length. DATA SOURCES This systematic review was conducted according to PRISMA guidelines. Database searches of PubMed, CINAHL, Scopus, Medline, and Web of Science were performed. STUDY SELECTION Included studies assessed the association between maternal nutrition (dietary intake and nutritional status) during pregnancy and offspring telomere length measured in cord blood, serum, plasma, and peripheral blood mononuclear cells. DATA EXTRACTION Three authors screened and determined the quality of the articles; disagreements were resolved by a fourth author. All authors compared the compiled data. RESULTS Seven studies were extracted and evaluated. Studies comprised a double-blind placebo-controlled trial (n = 1), prospective cohort studies (n = 5), and a cross-sectional study (n = 1). Higher circulating maternal folate and 25-hydroxyvitamin D3 concentrations, along with higher maternal dietary caffeine intakes, were associated with longer offspring telomere length, whereas higher dietary intake of carbohydrate, folate, n-3 polyunsaturated fatty acids, vitamin C, or sodium was not. CONCLUSION The limited but suggestive evidence highlights the need for further research to be conducted in this area, particularly longitudinal studies involving larger cohorts of pregnant women. SYSTEMATIC REVIEW REGISTRATION PROSPERO registration no. CRD42019136506.
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Affiliation(s)
- Nahal Habibi
- School of Agriculture, Food and Wine, Waite Research Institute, University of Adelaide, Adelaide, South Australia, Australia.,Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia
| | - Tina Bianco-Miotto
- School of Agriculture, Food and Wine, Waite Research Institute, University of Adelaide, Adelaide, South Australia, Australia.,Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia
| | - Yan Yin Phoi
- School of Pharmacy and Medical Sciences, University of South Australia, Adelaide, South Australia, Australia
| | - Tanja Jankovic-Karasoulos
- Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia.,Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia.,Flinders Health and Medical Research Institute, Flinders University, Bedford Park, South Australia, Australia
| | - Claire T Roberts
- Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia.,Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia.,Flinders Health and Medical Research Institute, Flinders University, Bedford Park, South Australia, Australia
| | - Jessica A Grieger
- Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia.,Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia
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Pirotta S, Joham A, Grieger JA, Tay CT, Bahri-Khomami M, Lujan M, Lim SS, Moran LJ. Obesity and the Risk of Infertility, Gestational Diabetes, and Type 2 Diabetes in Polycystic Ovary Syndrome. Semin Reprod Med 2021; 38:342-351. [PMID: 33873233 DOI: 10.1055/s-0041-1726866] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
This review describes the relationship between obesity and the most common reproductive (infertility) and metabolic (gestational diabetes mellitus [GDM] and type 2 diabetes mellitus [T2DM]) consequences in polycystic ovary syndrome (PCOS). It also describes the vital role of lifestyle management for PCOS. PCOS is a heterogeneous endocrine disorder common in reproductive-age women. Consensus on the exact etiological mechanisms of PCOS is unreached. Overweight or obesity is present in at least 60% of the PCOS population, but the condition occurs irrespective of BMI, with excess BMI increasing both the prevalence and severity of clinical features. Use of lifestyle therapies (nutrition, physical activity, and/or behavioral) for the prevention and management of excess weight gain, infertility, GDM, and T2DM is a vital component of best-practice PCOS care. Lifestyle management is recommended for all women with PCOS as the first-line treatment with or without medications. Due to a lack of high-quality trials demonstrating the efficacy of specific lifestyle approaches, PCOS lifestyle recommendations are as those for the general population. This review summarizes current knowledge relating to obesity and its impact on fertility, GDM, and T2DM. It also summarizes the lifestyle recommendations to best manage these conditions in women with PCOS and obesity.
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Affiliation(s)
- Stephanie Pirotta
- Health and Social Care Unit, SPHPM, Monash University, Victoria, Australia
| | - Anju Joham
- Monash Centre for Health Research and Implementation, Monash University, Victoria, Australia.,Department of Diabetes and Vascular Medicine, Monash Health, Victoria, Australia
| | - Jessica A Grieger
- Adelaide Medical School, University of Adelaide, South Australia, Australia.,Robinson Research Institute, University of Adelaide, Adelaide, Australia
| | - Chau Tien Tay
- Monash Centre for Health Research and Implementation, Monash University, Victoria, Australia
| | - Mahnaz Bahri-Khomami
- Monash Centre for Health Research and Implementation, Monash University, Victoria, Australia
| | - Marla Lujan
- Division of Nutritional Sciences, Cornell University, New York
| | - Siew S Lim
- Monash Centre for Health Research and Implementation, Monash University, Victoria, Australia
| | - Lisa J Moran
- Monash Centre for Health Research and Implementation, Monash University, Victoria, Australia
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Grieger JA, Hutchesson MJ, Cooray SD, Bahri Khomami M, Zaman S, Segan L, Teede H, Moran LJ. A review of maternal overweight and obesity and its impact on cardiometabolic outcomes during pregnancy and postpartum. Ther Adv Reprod Health 2021; 15:2633494120986544. [PMID: 33615227 PMCID: PMC7871058 DOI: 10.1177/2633494120986544] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Accepted: 12/16/2020] [Indexed: 12/13/2022] Open
Abstract
The rates of maternal overweight and obesity, but also excess gestational weight gain, are increasing. Pregnancy complications, including gestational diabetes mellitus, gestational hypertension, pre-eclampsia and delivery of a preterm or growth restricted baby, are higher for both women with overweight and obesity and women who gain excess weight during their pregnancy. Other conditions such as polycystic ovary syndrome are also strongly linked to overweight and obesity and worsened pregnancy complications. All of these conditions place women at increased risk for future cardiometabolic diseases. If overweight and obesity, but also excess gestational weight gain, can be reduced in women of reproductive age, then multiple comorbidities associated with pregnancy complications may also be reduced in the years after childbirth. This narrative review highlights the association between maternal overweight and obesity and gestational weight gain, with gestational diabetes, pre-eclampsia, polycystic ovary syndrome and delivery of a preterm or growth restricted baby. This review also addresses how these adverse conditions are linked to cardiometabolic diseases after birth. We report that while the independent associations between obesity and gestational weight gain are evident across many of the adverse conditions assessed, whether body mass index or gestational weight gain is a stronger driving factor for many of these is currently unclear. Mechanisms linking gestational diabetes mellitus, gestational hypertension, pre-eclampsia, preterm delivery and polycystic ovary syndrome to heightened risk for cardiometabolic diseases are multifactorial but relate to cardiovascular and inflammatory pathways that are also found in overweight and obesity. The need for post-partum cardiovascular risk assessment and follow-up care remains overlooked. Such early detection and intervention for women with pregnancy-related complications will significantly attenuate risk for cardiovascular disease.
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Affiliation(s)
- Jessica A. Grieger
- Robinson Research Institute, The University of Adelaide, Adelaide, SA, Australia
- Adelaide Medical School, The University of Adelaide, Adelaide, SA, Australia
| | - Melinda J. Hutchesson
- Priority Research Centre for Physical Activity and Nutrition, School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan, NSW, Australia
| | - Shamil D. Cooray
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
- Diabetes Unit, Monash Health, Melbourne, VIC, Australia
| | - Mahnaz Bahri Khomami
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Sarah Zaman
- Westmead Applied Research Centre, University of Sydney, Sydney, NSW, AustraliaSchool of Clinical Sciences at Monash Health, Monash University, Melbourne, VIC, Australia
| | - Louise Segan
- Department of Cardiology, Alfred Health, Melbourne, VIC, Australia
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Helena Teede
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
- Diabetes Unit, Monash Health, Melbourne, VIC, Australia
| | - Lisa J. Moran
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3800, Australia. Robinson Research Institute, The University of Adelaide, Adelaide 5000, SA, Australia
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Jankovic‐Karasoulos T, Furness DL, Leemaqz SY, Dekker GA, Grzeskowiak LE, Grieger JA, Andraweera PH, McCullough D, McAninch D, McCowan LM, Bianco‐Miotto T, Roberts CT. Maternal folate, one-carbon metabolism and pregnancy outcomes. Matern Child Nutr 2021; 17:e13064. [PMID: 32720760 PMCID: PMC7729528 DOI: 10.1111/mcn.13064] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/24/2019] [Revised: 05/22/2020] [Accepted: 06/24/2020] [Indexed: 12/12/2022]
Abstract
Single nucleotide polymorphisms and pre- and peri-conception folic acid (FA) supplementation and dietary data were used to identify one-carbon metabolic factors associated with pregnancy outcomes in 3196 nulliparous women. In 325 participants, we also measured circulating folate, vitamin B12 and homocysteine. Pregnancy outcomes included preeclampsia (PE), gestational hypertension (GHT), small for gestational age (SGA), spontaneous preterm birth (sPTB) and gestational diabetes mellitus (GDM). Study findings show that maternal genotype MTHFR A1298C(CC) was associated with increased risk for PE, whereas TCN2 C766G(GG) had a reduced risk for sPTB. Paternal MTHFR A1298C(CC) and MTHFD1 G1958A(AA) genotypes were associated with reduced risk for sPTB, whereas MTHFR C677T(CT) genotype had an increased risk for GHT. FA supplementation was associated with higher serum folate and vitamin B12 concentrations, reduced uterine artery resistance index and increased birth weight. Women who supplemented with <800 μg daily FA at 15-week gestation had a higher incidence of PE (10.3%) compared with women who did not supplement (6.1%) or who supplemented with ≥800 μg (5.4%) (P < .0001). Higher serum folate levels were found in women who later developed GDM compared with women with uncomplicated pregnancies (Mean ± SD: 37.6 ± 8 nmol L-1 vs. 31.9 ± 11.2, P = .007). Fast food consumption was associated with increased risk for developing GDM, whereas low consumption of green leafy vegetables and fruit were independent risk factors for SGA and GDM and sPTB and SGA, respectively. In conclusion, maternal and paternal genotypes, together with maternal circulating folate and homocysteine concentrations, and pre- and early-pregnancy dietary factors, are independent risk factors for pregnancy complications.
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Affiliation(s)
- Tanja Jankovic‐Karasoulos
- Robinson Research InstituteUniversity of AdelaideAdelaideSouth AustraliaAustralia
- Adelaide Medical SchoolUniversity of AdelaideAdelaideSouth AustraliaAustralia
- College of Medical and Public HealthFlinders UniversityBedford ParkSouth AustraliaAustralia
| | - Denise L. Furness
- Robinson Research InstituteUniversity of AdelaideAdelaideSouth AustraliaAustralia
- Adelaide Medical SchoolUniversity of AdelaideAdelaideSouth AustraliaAustralia
| | - Shalem Y. Leemaqz
- Robinson Research InstituteUniversity of AdelaideAdelaideSouth AustraliaAustralia
- Adelaide Medical SchoolUniversity of AdelaideAdelaideSouth AustraliaAustralia
- College of Medical and Public HealthFlinders UniversityBedford ParkSouth AustraliaAustralia
| | - Gustaaf A. Dekker
- Robinson Research InstituteUniversity of AdelaideAdelaideSouth AustraliaAustralia
- Adelaide Medical SchoolUniversity of AdelaideAdelaideSouth AustraliaAustralia
- Department of Obstetrics and GynaecologyLyell McEwin HospitalElizabeth ValeSouth AustraliaAustralia
| | - Luke E. Grzeskowiak
- Robinson Research InstituteUniversity of AdelaideAdelaideSouth AustraliaAustralia
- Adelaide Medical SchoolUniversity of AdelaideAdelaideSouth AustraliaAustralia
| | - Jessica A. Grieger
- Robinson Research InstituteUniversity of AdelaideAdelaideSouth AustraliaAustralia
- Adelaide Medical SchoolUniversity of AdelaideAdelaideSouth AustraliaAustralia
| | - Prabha H. Andraweera
- Robinson Research InstituteUniversity of AdelaideAdelaideSouth AustraliaAustralia
- Adelaide Medical SchoolUniversity of AdelaideAdelaideSouth AustraliaAustralia
| | - Dylan McCullough
- Robinson Research InstituteUniversity of AdelaideAdelaideSouth AustraliaAustralia
- Adelaide Medical SchoolUniversity of AdelaideAdelaideSouth AustraliaAustralia
- College of Medical and Public HealthFlinders UniversityBedford ParkSouth AustraliaAustralia
| | - Dale McAninch
- Robinson Research InstituteUniversity of AdelaideAdelaideSouth AustraliaAustralia
- Adelaide Medical SchoolUniversity of AdelaideAdelaideSouth AustraliaAustralia
| | - Lesley M. McCowan
- Department of Obstetrics and GynaecologyUniversity of AucklandAucklandNew Zealand
| | - Tina Bianco‐Miotto
- Robinson Research InstituteUniversity of AdelaideAdelaideSouth AustraliaAustralia
- School of Agriculture Food and Wine, Waite Research InstituteUniversity of AdelaideAdelaideSouth AustraliaAustralia
| | - Claire T. Roberts
- Robinson Research InstituteUniversity of AdelaideAdelaideSouth AustraliaAustralia
- Adelaide Medical SchoolUniversity of AdelaideAdelaideSouth AustraliaAustralia
- College of Medical and Public HealthFlinders UniversityBedford ParkSouth AustraliaAustralia
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McAninch D, Bianco-Miotto T, Gatford KL, Leemaqz SY, Andraweera PH, Garrett A, Plummer MD, Dekker GA, Roberts CT, Smithers LG, Grieger JA. The metabolic syndrome in pregnancy and its association with child telomere length. Diabetologia 2020; 63:2140-2149. [PMID: 32728890 DOI: 10.1007/s00125-020-05242-0] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Accepted: 06/24/2020] [Indexed: 12/19/2022]
Abstract
AIMS/HYPOTHESIS The aim of this study was to determine whether presence of the metabolic syndrome in pregnancy associates with child telomere length or child anthropometry (weight, BMI) and BP, measured at 10 years of age. METHODS The Screening for Pregnancy Endpoints study (SCOPE) was a multicentre, international prospective cohort of nulliparous pregnant women recruited from Australia, New Zealand, Ireland and the UK (N = 5628). The current analysis is a 10 year follow-up of SCOPE pregnant women and their children, from the Australian cohort. Clinical data collected at 14-16 weeks' gestation during the SCOPE study were used to diagnose the metabolic syndrome using IDF criteria. Telomere length, a biomarker of ageing, was assessed by quantitative PCR from children's saliva collected at 10 years of age. RESULTS In women who completed follow-up (n = 255), 20% had the metabolic syndrome in pregnancy. After adjusting for a range of confounders, children of mothers who had the metabolic syndrome in pregnancy had 14% shorter telomeres than children of mothers without the metabolic syndrome in pregnancy (mean difference -0.36 [95% CI -0.74, 0.01]). Height- and weight-for-age, and BMI z scores were similar in children of mothers who did and did not have the metabolic syndrome during pregnancy. CONCLUSIONS/INTERPRETATION Children of mothers who had the metabolic syndrome in pregnancy have shorter telomeres, a biomarker of accelerated ageing. These findings warrant further studies in larger cohorts of children, as well as investigations into whether telomere length measured in cord blood associates with telomere length in childhood.
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Affiliation(s)
- Dale McAninch
- Robinson Research Institute, University of Adelaide, North Adelaide, SA, 5005, Australia
- Adelaide Medical School, University of Adelaide, Adelaide, Australia
| | - Tina Bianco-Miotto
- Robinson Research Institute, University of Adelaide, North Adelaide, SA, 5005, Australia
- Waite Research Institute, School of Agriculture, Food and Wine, University of Adelaide, Adelaide, SA, Australia
| | - Kathy L Gatford
- Robinson Research Institute, University of Adelaide, North Adelaide, SA, 5005, Australia
- Adelaide Medical School, University of Adelaide, Adelaide, Australia
| | - Shalem Y Leemaqz
- Robinson Research Institute, University of Adelaide, North Adelaide, SA, 5005, Australia
- Adelaide Medical School, University of Adelaide, Adelaide, Australia
- College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
| | - Prabha H Andraweera
- Robinson Research Institute, University of Adelaide, North Adelaide, SA, 5005, Australia
- Adelaide Medical School, University of Adelaide, Adelaide, Australia
| | - Amy Garrett
- Robinson Research Institute, University of Adelaide, North Adelaide, SA, 5005, Australia
- Adelaide Medical School, University of Adelaide, Adelaide, Australia
| | - Michelle D Plummer
- Robinson Research Institute, University of Adelaide, North Adelaide, SA, 5005, Australia
- Adelaide Medical School, University of Adelaide, Adelaide, Australia
| | - Gus A Dekker
- Robinson Research Institute, University of Adelaide, North Adelaide, SA, 5005, Australia
- Women and Children's Division, Lyell McEwin Hospital, University of Adelaide, Adelaide, SA, Australia
| | - Claire T Roberts
- Robinson Research Institute, University of Adelaide, North Adelaide, SA, 5005, Australia
- Adelaide Medical School, University of Adelaide, Adelaide, Australia
- College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
| | - Lisa G Smithers
- Robinson Research Institute, University of Adelaide, North Adelaide, SA, 5005, Australia
- School of Public Health, University of Adelaide, Adelaide, SA, Australia
| | - Jessica A Grieger
- Robinson Research Institute, University of Adelaide, North Adelaide, SA, 5005, Australia.
- Adelaide Medical School, University of Adelaide, Adelaide, Australia.
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Habibi N, Grieger JA, Bianco-Miotto T. A Review of the Potential Interaction of Selenium and Iodine on Placental and Child Health. Nutrients 2020; 12:nu12092678. [PMID: 32887377 PMCID: PMC7551633 DOI: 10.3390/nu12092678] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Revised: 08/28/2020] [Accepted: 08/28/2020] [Indexed: 12/12/2022] Open
Abstract
A healthy pregnancy is important for the growth and development of a baby. An adverse pregnancy outcome is associated with increased chronic disease risk for the mother and offspring. An optimal diet both before and during pregnancy is essential to support the health of the mother and offspring. A key mediator of the effect of maternal nutrition factors on pregnancy outcomes is the placenta. Complicated pregnancies are characterized by increased oxidative stress in the placenta. Selenium and iodine are micronutrients that are involved in oxidative stress in placental cells. To date, there has been no comprehensive review investigating the potential synergistic effect of iodine and selenium in the placenta and how maternal deficiencies may be associated with increased oxidative stress and hence adverse pregnancy outcomes. We undertook a hypothesis-generating review on selenium and iodine, to look at how they may relate to pregnancy complications through oxidative stress. We propose how they may work together to impact pregnancy and placental health and explore how deficiencies in these micronutrients during pregnancy may impact the future health of offspring.
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Affiliation(s)
- Nahal Habibi
- School of Agriculture, Food and Wine, Waite Research Institute, and Robinson Research Institute, University of Adelaide, Adelaide 5005, Australia;
| | - Jessica A. Grieger
- Adelaide Medical School, and Robinson Research Institute, University of Adelaide, Adelaide 5005, Australia
- Correspondence: (J.A.G.); (T.B.-M.)
| | - Tina Bianco-Miotto
- School of Agriculture, Food and Wine, Waite Research Institute, and Robinson Research Institute, University of Adelaide, Adelaide 5005, Australia;
- Correspondence: (J.A.G.); (T.B.-M.)
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Grieger JA, Norman RJ. Menstrual Cycle Length and Patterns in a Global Cohort of Women Using a Mobile Phone App: Retrospective Cohort Study. J Med Internet Res 2020; 22:e17109. [PMID: 32442161 PMCID: PMC7381001 DOI: 10.2196/17109] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Revised: 04/16/2020] [Accepted: 04/20/2020] [Indexed: 12/30/2022] Open
Abstract
Background There is increasing information characterizing menstrual cycle length in women, but less information is available on the potential differences across lifestyle variables. Objective This study aimed to describe differences in menstrual cycle length, variability, and menstrual phase across women of different ages and BMI among a global cohort of Flo app users. We have also reported on demographic and lifestyle characteristics across median cycle lengths. Methods The analysis was run based on the aggregated anonymized dataset from a menstrual cycle tracker and ovulation calendar that covers all phases of the reproductive cycle. Self-reported information is documented, including demographics, menstrual flow and cycle length, ovulation information, and reproductive health and diseases. Data from women aged ≥18 years and who had logged at least three cycles (ie, 2 completed cycles and 1 current cycle) in the Flo app were included (1,579,819 women). Results Of the 1.5 million users, approximately half (638,683/1,579,819, 40.42%) were aged between 18 and 24 years. Just over half of those reporting BMIs were in the normal range (18.5-24.9 kg/m2; 202,420/356,598, 56.76%) and one-third were overweight or obese (>25 kg/m2; 120,983/356,598, 33.93%). A total of 16.32% (257,889/1,579,819) of women had a 28-day median cycle length. There was a higher percentage of women aged ≥40 years who had a 27-day median cycle length than those aged between 18 and 24 years (22,294/120,612, 18.48% vs 60,870/637,601, 9.55%), but a lower percentage with a 29-day median cycle length (10,572/120,612, 8.77% vs 79,626/637,601, 12.49%). There were a higher number of cycles with short luteal phases in younger women, whereas women aged ≥40 years had a higher number of cycles with longer luteal phases. Median menstrual cycle length and the length of the follicular and luteal phases were not remarkably different with increasing BMI, except for the heaviest women at a BMI of ≥50 kg/m2. Conclusions On a global scale, we have provided extensive evidence on the characteristics of women and their menstrual cycle length and patterns across different age and BMI groups. This information is necessary to support updates of current clinical guidelines around menstrual cycle length and patterns for clinical use in fertility programs.
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Affiliation(s)
- Jessica A Grieger
- Robinson Research Institute, University of Adelaide, Adelaide, Australia.,Adelaide Medical School, University of Adelaide, Adelaide, Australia
| | - Robert J Norman
- Robinson Research Institute, University of Adelaide, Adelaide, Australia.,Fertility SA, Adelaide, Australia
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Grzeskowiak LE, Grieger JA, Andraweera P, Knight EJ, Leemaqz S, Poston L, McCowan L, Kenny L, Myers J, Walker JJ, Dekker GA, Roberts CT. The deleterious effects of cannabis during pregnancy on neonatal outcomes. Med J Aust 2020; 212:519-524. [PMID: 32452049 DOI: 10.5694/mja2.50624] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2019] [Accepted: 02/07/2020] [Indexed: 12/31/2022]
Abstract
OBJECTIVES To evaluate whether cannabis use during pregnancy is associated with adverse neonatal outcomes that are independent of cigarette smoking. DESIGN Prospective cohort study. SETTING Adelaide (Australia), Auckland (New Zealand), Cork (Ireland), and Leeds, London and Manchester (United Kingdom). PARTICIPANTS 5610 pregnant nulliparous women with low risk pregnancies recruited for the Screening for Pregnancy Endpoints (SCOPE) study, November 2004 - February 2011. At 14-16 weeks of pregnancy, women were grouped by self-reported cannabis use. MAIN OUTCOME MEASURES Infant birthweight, head circumference, birth length, gestational age, and severe neonatal morbidity or mortality. RESULTS 314 women (5.6%) reported using cannabis in the 3 months before or during their pregnancy; 97 (31%) stopped using it before and 157 (50%) during the first 15 weeks of pregnancy, while 60 (19%) were still using cannabis at 15 weeks. Compared with babies of mother who had never used cannabis, infants of those who still used it at 15 weeks had lower mean values for birthweight (adjusted mean difference [aMD], -127 g; 95% CI, -238 to -17 g), head circumference (aMD, -0.5 cm; 95% CI, -0.8 to -0.1 cm), birth length (aMD, -0.8 cm; 95% CI, -1.4 to -0.2 cm), and gestational age at birth (aMD, -8.1 days; 95% CI, -12.1 to -4.0 days). The differences for all outcomes except gestational age were greater for women who used cannabis more than once a week than for those who used it less frequently. CONCLUSIONS Continuing to use cannabis during pregnancy is an independent risk factor for poorer neonatal outcomes.
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Affiliation(s)
- Luke E Grzeskowiak
- Robinson Research Institute, University of Adelaide, Adelaide, SA.,Adelaide Medical School, University of Adelaide, Adelaide, SA
| | - Jessica A Grieger
- Robinson Research Institute, University of Adelaide, Adelaide, SA.,Adelaide Medical School, University of Adelaide, Adelaide, SA
| | - Prabha Andraweera
- Robinson Research Institute, University of Adelaide, Adelaide, SA.,Adelaide Medical School, University of Adelaide, Adelaide, SA
| | - Emma J Knight
- Robinson Research Institute, University of Adelaide, Adelaide, SA
| | - Shalem Leemaqz
- Robinson Research Institute, University of Adelaide, Adelaide, SA
| | - Lucilla Poston
- Women's Health Academic Centre and King's Health Partners, King's College London, London, United Kingdom
| | | | - Louise Kenny
- University of Liverpool, Liverpool, United Kingdom
| | - Jenny Myers
- Maternal and Fetal Health Research Centre, University of Manchester, Manchester, United Kingdom
| | - James J Walker
- Institute of Biomedical and Clinical Sciences, University of Leeds, Leeds, United Kingdom
| | - Gustaaf A Dekker
- Robinson Research Institute, University of Adelaide, Adelaide, SA.,Adelaide Medical School, University of Adelaide, Adelaide, SA
| | - Claire T Roberts
- Robinson Research Institute, University of Adelaide, Adelaide, SA.,Adelaide Medical School, University of Adelaide, Adelaide, SA
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Mulder CL, Lassi ZS, Grieger JA, Ali A, Jankovic‐Karasoulos T, Roberts CT, Andraweera PH. Cardio‐metabolic risk factors among young infertile women: a systematic review and meta‐analysis. BJOG 2020; 127:930-939. [DOI: 10.1111/1471-0528.16171] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/29/2020] [Indexed: 11/30/2022]
Affiliation(s)
- CL Mulder
- Robinson Research Institute University of Adelaide Adelaide SA Australia
- Centre for Reproductive Medicine Amsterdam Reproduction and Development Research Institute Amsterdam UMC University of Amsterdam AZ Amsterdam the Netherlands
| | - ZS Lassi
- Robinson Research Institute University of Adelaide Adelaide SA Australia
- Adelaide Medical School University of Adelaide Adelaide SA Australia
| | - JA Grieger
- Robinson Research Institute University of Adelaide Adelaide SA Australia
- Adelaide Medical School University of Adelaide Adelaide SA Australia
| | - A Ali
- Basil Hetzel Institute The University of Adelaide Adelaide SA Australia
| | - T Jankovic‐Karasoulos
- Robinson Research Institute University of Adelaide Adelaide SA Australia
- Adelaide Medical School University of Adelaide Adelaide SA Australia
| | - CT Roberts
- Robinson Research Institute University of Adelaide Adelaide SA Australia
- Adelaide Medical School University of Adelaide Adelaide SA Australia
| | - PH Andraweera
- Robinson Research Institute University of Adelaide Adelaide SA Australia
- Adelaide Medical School University of Adelaide Adelaide SA Australia
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Grieger JA, Hodge A, Mishra G, Joham AE, Moran LJ. The Association between Dietary Intake, Asthma, and PCOS in Women from the Australian Longitudinal Study on Women's Health. J Clin Med 2020; 9:E233. [PMID: 31952348 PMCID: PMC7019521 DOI: 10.3390/jcm9010233] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 01/06/2020] [Accepted: 01/12/2020] [Indexed: 01/23/2023] Open
Abstract
Dietary intake potentially modifies the prevalence or severity of asthma. The prevalence of asthma is higher in women with polycystic ovary syndrome (PCOS); it is not known if diet confounds or modifies the association between asthma and PCOS. The aims of this study were: (i) To determine if the association of PCOS and asthma is independent of dietary pattern and (ii) to determine if dietary pattern modifies the association between PCOS and asthma. Women in this study were from the Australian Longitudinal Study on Women's Health (ALSWH) cohort born between 1973 to 1978 and aged 18 to 23 years (n = 7382). Logistic regression was used to assess the association between PCOS and asthma, adjusting for the following: (i) Potential confounders identified a priori and (ii) dietary patterns (z-score) identified by principle component analysis. In the adjusted analysis, women with PCOS were more likely to have asthma than the women without PCOS (OR 1.35 and 95% CI, 1.02 and 1.78). This relationship was not altered by further adjustment for dietary patterns (non-core food, meats and takeaway, or Mediterranean-style pattern). In the interaction analysis, only the women consuming less than the median intake of non-core foods (i.e., lower intake of discretionary or unhealthy foods) and with PCOS were more likely to have asthma (OR 1.91 and 95% CI, 1.29 and 2.82). Dietary intake did not confound the relationship between PCOS and asthma. Other mechanistic pathways are likely responsible for the asthma and PCOS association, and further studies assessing factors such as oral contraceptive use and sex steroid hormones warrant investigation.
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Affiliation(s)
- Jessica A Grieger
- Robinson Research Institute, University of Adelaide, North Adelaide, SA 5005, Australia;
- Adelaide Medical School, University of Adelaide, Adelaide, SA 5005, Australia
| | - Allison Hodge
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VCT 3004, Australia;
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VCT 3010, Australia
| | - Gita Mishra
- School of Public Health, Faculty of Medicine, The University of Queensland, Brisbane, QLD 4072, Australia;
| | - Anju E Joham
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, VCT 3168, Australia;
- Diabetes and Vascular Medicine, Monash Health, Clayton, VCT 3168, Australia
| | - Lisa J Moran
- Robinson Research Institute, University of Adelaide, North Adelaide, SA 5005, Australia;
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, VCT 3168, Australia;
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Grieger JA, Grzeskowiak LE, Wilson RL, Bianco-Miotto T, Leemaqz SY, Jankovic-Karasoulos T, Perkins AV, Norman RJ, Dekker GA, Roberts CT. Maternal Selenium, Copper and Zinc Concentrations in Early Pregnancy, and the Association with Fertility. Nutrients 2019; 11:E1609. [PMID: 31315178 PMCID: PMC6683068 DOI: 10.3390/nu11071609] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2019] [Accepted: 07/14/2019] [Indexed: 12/24/2022] Open
Abstract
Trace elements such as zinc, copper, and selenium are essential for reproductive health, but there is limited work examining how circulating trace elements may associate with fertility in humans. The aim of this study was to determine the association between maternal plasma concentrations of zinc, copper, and selenium, and time to pregnancy and subfertility. Australian women (n = 1060) who participated in the multi-centre prospective Screening for Pregnancy Endpoints study were included. Maternal plasma concentrations of copper, zinc and selenium were assessed at 15 ± 1 weeks' gestation. Estimates of retrospectively reported time to pregnancy were documented as number of months to conceive; subfertility was defined as taking more than 12 months to conceive. A range of maternal and paternal adjustments were included. Women who had lower zinc (time ratio, 1.20 (0.99-1.44)) or who had lower selenium concentrations (1.19 (1.01-1.40)) had a longer time to pregnancy, equivalent to a median difference in time to pregnancy of around 0.6 months. Women with low selenium concentrations were also at a 1.46 (1.06-2.03) greater relative risk for subfertility compared to women with higher selenium concentrations. There were no associations between copper and time to pregnancy or subfertility. Lower selenium and zinc trace element concentrations, which likely reflect lower dietary intakes, associate with a longer time to pregnancy. Further research supporting our work is required, which may inform recommendations to increase maternal trace element intake in women planning a pregnancy.
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Affiliation(s)
- Jessica A Grieger
- Robinson Research Institute, University of Adelaide, 5005 North Adelaide, South Australia, Australia.
- Adelaide Medical School, University of Adelaide, 5005 Adelaide, South Australia, Australia.
| | - Luke E Grzeskowiak
- Robinson Research Institute, University of Adelaide, 5005 North Adelaide, South Australia, Australia
- Adelaide Medical School, University of Adelaide, 5005 Adelaide, South Australia, Australia
| | - Rebecca L Wilson
- Robinson Research Institute, University of Adelaide, 5005 North Adelaide, South Australia, Australia
- Adelaide Medical School, University of Adelaide, 5005 Adelaide, South Australia, Australia
- Current affiliation: Center for Fetal and Placental Research, Cincinnati Children's Hospital and Medical Center, Cincinnati, OH 45229, USA
| | - Tina Bianco-Miotto
- Robinson Research Institute, University of Adelaide, 5005 North Adelaide, South Australia, Australia
- Waite Research Institute, School of Agriculture, Food and Wine, University of Adelaide, 5064 Adelaide, South Australia, Australia
| | - Shalem Y Leemaqz
- Robinson Research Institute, University of Adelaide, 5005 North Adelaide, South Australia, Australia
- Adelaide Medical School, University of Adelaide, 5005 Adelaide, South Australia, Australia
| | - Tanja Jankovic-Karasoulos
- Robinson Research Institute, University of Adelaide, 5005 North Adelaide, South Australia, Australia
- Adelaide Medical School, University of Adelaide, 5005 Adelaide, South Australia, Australia
| | - Anthony V Perkins
- School of Medical Science, Griffith University, Gold Coast Campus, 4215 Southport, Queensland, Australia
| | - Robert J Norman
- Robinson Research Institute, University of Adelaide, 5005 North Adelaide, South Australia, Australia
- Fertility SA, 5000 Adelaide, South Australia, Australia
| | - Gus A Dekker
- Robinson Research Institute, University of Adelaide, 5005 North Adelaide, South Australia, Australia
- Women and Children's Division, Lyell McEwin Hospital, University of Adelaide, 5112 Adelaide, South Australia, Australia
| | - Claire T Roberts
- Robinson Research Institute, University of Adelaide, 5005 North Adelaide, South Australia, Australia
- Adelaide Medical School, University of Adelaide, 5005 Adelaide, South Australia, Australia
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Bahri Khomami M, Moran LJ, Kenny L, Grieger JA, Myers J, Poston L, McCowan L, Walker J, Dekker G, Norman R, Roberts CT. Lifestyle and pregnancy complications in polycystic ovary syndrome: The SCOPE cohort study. Clin Endocrinol (Oxf) 2019; 90:814-821. [PMID: 30801750 DOI: 10.1111/cen.13954] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2019] [Revised: 02/18/2019] [Accepted: 02/19/2019] [Indexed: 12/11/2022]
Abstract
OBJECTIVES To investigate the risk of pregnancy complications in women with and without polycystic ovary syndrome after consideration of lifestyle factors. DESIGN Prospective cohort. PATIENTS AND MEASUREMENTS Participants (n = 5628) were apparently healthy nulliparous women with singleton pregnancies from the Screening for Pregnancy Endpoints study in New Zealand, Australia, United Kingdom and Ireland. Multivariable regression models were performed assessing the association of self-reported polycystic ovary syndrome status with pregnancy complications with consideration of lifestyle factors at the 15th week of gestation. RESULTS Women with polycystic ovary syndrome (n = 354) were older, had a higher socio-economic index and body mass index and were less likely to consume alcohol and smoke but more likely to do vigorous exercise and take multivitamins. In univariable analysis, polycystic ovary syndrome was associated with increased risk of gestational diabetes (OR: 2.2, 95% CI: 1.2, 4.0). In multivariable models, polycystic ovary syndrome was only significantly associated with decreased risk of large for gestational age (OR: 0.62, 95% CI: 0.40, 0.98) with a population attributable risk of 0.22%. None of the other outcomes were attributable to polycystic ovary syndrome status. CONCLUSIONS Polycystic ovary syndrome is associated with a lower risk of large for gestational age infants. In this low-risk population, the risk of pregnancy complications was not increased in women with polycystic ovary syndrome who were following a healthy lifestyle. Further studies are warranted assessing the contribution of lifestyle factors to the risk of pregnancy complications in higher risk groups of women with and without polycystic ovary syndrome.
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Affiliation(s)
- Mahnaz Bahri Khomami
- Monash Center for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Lisa J Moran
- Monash Center for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia
| | - Louise Kenny
- Department of Women's and Children's Health, Institute of Translational Medicine, University of Liverpool, Liverpool, UK
| | - Jessica A Grieger
- Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia
- Adelaide Medical School, North Terrace, University of Adelaide, Adelaide, South Australia, Australia
| | - Jenny Myers
- The Maternal and Fetal Health Research Center, University of Manchester, Manchester, UK
| | - Lucilla Poston
- Department of Women and Children's Health, King's College, London, UK
| | - Lesley McCowan
- Department of Obstetrics and Gynecology, University of Auckland, Auckland, New Zealand
| | - James Walker
- Department of Obstetrics and Gynecology, University of Leeds, Leeds, UK
| | - Gustaaf Dekker
- Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia
- Adelaide Medical School, North Terrace, University of Adelaide, Adelaide, South Australia, Australia
- Women and Children's Division, Lyell McEwin Hospital, University of Adelaide, Adelaide, South Australia, Australia
| | - Robert Norman
- Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia
- Fertility SA, Adelaide, South Australia, Australia
| | - Claire T Roberts
- Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia
- Adelaide Medical School, North Terrace, University of Adelaide, Adelaide, South Australia, Australia
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Johnson BJ, Grieger JA, Wycherley TP, Golley RK. Theoretical Reductions in Discretionary Choices Intake via Moderation, Substitution, and Reformulation Dietary Strategies Show Improvements in Nutritional Profile: A Simulation Study in Australian 2- to 18-Year-Olds. J Acad Nutr Diet 2019; 119:782-798.e6. [DOI: 10.1016/j.jand.2018.10.016] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2018] [Revised: 10/03/2018] [Accepted: 10/16/2018] [Indexed: 11/25/2022]
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Grieger JA, Grzeskowiak LE, Smithers LG, Bianco-Miotto T, Leemaqz SY, Andraweera P, Poston L, McCowan LM, Kenny LC, Myers J, Walker JJ, Norman RJ, Dekker GA, Roberts CT. Metabolic syndrome and time to pregnancy: a retrospective study of nulliparous women. BJOG 2019; 126:852-862. [PMID: 30734474 DOI: 10.1111/1471-0528.15647] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/20/2019] [Indexed: 12/26/2022]
Abstract
OBJECTIVE To determine: (1) the association between metabolic syndrome (MetS), time to pregnancy (TTP), and infertility; (2) associations between individual and an increasing number of MetS components, TTP, and infertility; and (3) whether these relationships differ by body mass index (BMI < 30 kg/m2 versus BMI ≥ 30 kg/m2 ). DESIGN Retrospective cohort study. SETTING Multiple centres (in Australia, Ireland, New Zealand, and the UK). POPULATION Five thousand five hundred and nineteen low-risk nulliparous pregnant women. METHODS Data on retrospectively reported TTP (number of months to conceive) and a blood sample to assess metabolic health were collected between 14 and 16 weeks of gestation. MetS was defined according to the International Diabetes Federation criteria. Accelerated failure time models with log-normal distribution were conducted to estimate time ratios (TRs) and 95% CIs. Differences in MetS on infertility (TTP > 12 months) were compared using a generalised linear model (Poisson distribution) with robust variance estimates (relative risks, RRs; 95% CIs). All analyses (entire cohort and split by BMI) were controlled for a range of maternal and paternal confounding factors. MAIN OUTCOME MEASURES Time to pregnancy and infertility. RESULTS Of the 5519 women included, 12.4% (n = 684) had MetS. Compared with women without MetS, women with MetS had a longer TTP (adjusted TR 1.30; 95% CI 1.15-1.46), which was similar in women who were obese and in women who were not obese. Marginal estimates for median TTP in women with MetS versus without MetS was 3.1 months (3.0-3.3 months) versus 4.1 months (3.6-4.5 months), respectively. Women with MetS were at a 62% greater risk for infertility and were at a greater risk for infertility whether they were obese (adjusted RR 1.62; 95% CI 1.15-2.29) or not (adjusted RR 1.73; 95% CI 1.33-2.23). Reduced high-density lipoprotein cholesterol (HDL-C) and raised triglycerides (TGs) were the main individual components associated with risk for infertility. CONCLUSION Metabolic syndrome is associated with longer TTP and infertility, independent of obesity. Additional studies, before pregnancy, are required to support our findings and to determine the applicability of which combinations of metabolic abnormalities pose the greatest risk to delayed fertility, or whether individual components are amenable to modification. TWEETABLE ABSTRACT Metabolic syndrome is associated with longer time to pregnancy and infertility, independent of obesity.
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Affiliation(s)
- J A Grieger
- Robinson Research Institute, University of Adelaide, North Adelaide, South Australia, Australia.,Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia
| | - L E Grzeskowiak
- Robinson Research Institute, University of Adelaide, North Adelaide, South Australia, Australia.,Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia
| | - L G Smithers
- Robinson Research Institute, University of Adelaide, North Adelaide, South Australia, Australia.,School of Public Health, University of Adelaide, Adelaide, South Australia, Australia
| | - T Bianco-Miotto
- Robinson Research Institute, University of Adelaide, North Adelaide, South Australia, Australia.,Waite Research Institute, School of Agriculture, Food and Wine, University of Adelaide, Adelaide, South Australia, Australia
| | - S Y Leemaqz
- Robinson Research Institute, University of Adelaide, North Adelaide, South Australia, Australia.,Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia
| | - P Andraweera
- Robinson Research Institute, University of Adelaide, North Adelaide, South Australia, Australia.,Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia
| | - L Poston
- Department of Women and Children's Health, King's College London, St Thomas' Hospital, Westminster Bridge, London, UK
| | - L M McCowan
- Department of Obstetrics and Gynaecology, University of Auckland, Auckland, New Zealand
| | - L C Kenny
- Faculty of Health & Life Sciences, University of Liverpool, Liverpool, UK
| | - J Myers
- Maternal and Fetal Health Research Centre, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - J J Walker
- Obstetrics and Gynaecology Section, Leeds Institute of Biomedical and Clinical Sciences, University of Leeds, Leeds, UK
| | - R J Norman
- Robinson Research Institute, University of Adelaide, North Adelaide, South Australia, Australia.,Fertility SA, Adelaide, South Australia, Australia
| | - G A Dekker
- Robinson Research Institute, University of Adelaide, North Adelaide, South Australia, Australia.,Women and Children's Division, Lyell McEwin Hospital, University of Adelaide, Adelaide, South Australia, Australia
| | - C T Roberts
- Robinson Research Institute, University of Adelaide, North Adelaide, South Australia, Australia.,Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia
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Grieger JA, Bianco-Miotto T, Grzeskowiak LE, Leemaqz SY, Poston L, McCowan LM, Kenny LC, Myers JE, Walker JJ, Dekker GA, Roberts CT. Metabolic syndrome in pregnancy and risk for adverse pregnancy outcomes: A prospective cohort of nulliparous women. PLoS Med 2018; 15:e1002710. [PMID: 30513077 PMCID: PMC6279018 DOI: 10.1371/journal.pmed.1002710] [Citation(s) in RCA: 87] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2017] [Accepted: 11/02/2018] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Obesity increases the risk for developing gestational diabetes mellitus (GDM) and preeclampsia (PE), which both associate with increased risk for type 2 diabetes mellitus (T2DM) and cardiovascular disease (CVD) in women in later life. In the general population, metabolic syndrome (MetS) associates with T2DM and CVD. The impact of maternal MetS on pregnancy outcomes, in nulliparous pregnant women, has not been investigated. METHODS AND FINDINGS Low-risk, nulliparous women were recruited to the multi-centre, international prospective Screening for Pregnancy Endpoints (SCOPE) cohort between 11 November 2004 and 28 February 2011. Women were assessed for a range of demographic, lifestyle, and metabolic health variables at 15 ± 1 weeks' gestation. MetS was defined according to International Diabetes Federation (IDF) criteria for adults: waist circumference ≥80 cm, along with any 2 of the following: raised trigycerides (≥1.70 mmol/l [≥150 mg/dl]), reduced high-density lipoprotein cholesterol (<1.29 mmol/l [<50 mg/dl]), raised blood pressure (BP) (i.e., systolic BP ≥130 mm Hg or diastolic BP ≥85 mm Hg), or raised plasma glucose (≥5.6 mmol/l). Log-binomial regression analyses were used to examine the risk for each pregnancy outcome (GDM, PE, large for gestational age [LGA], small for gestational age [SGA], and spontaneous preterm birth [sPTB]) with each of the 5 individual components for MetS and as a composite measure (i.e., MetS, as defined by the IDF). The relative risks, adjusted for maternal BMI, age, study centre, ethnicity, socioeconomic index, physical activity, smoking status, depression status, and fetal sex, are reported. A total of 5,530 women were included, and 12.3% (n = 684) had MetS. Women with MetS were at an increased risk for PE by a factor of 1.63 (95% CI 1.23 to 2.15) and for GDM by 3.71 (95% CI 2.42 to 5.67). In absolute terms, for PE, women with MetS had an adjusted excess risk of 2.52% (95% CI 1.51% to 4.11%) and, for GDM, had an adjusted excess risk of 8.66% (95% CI 5.38% to 13.94%). Diagnosis of MetS was not associated with increased risk for LGA, SGA, or sPTB. Increasing BMI in combination with MetS increased the estimated probability for GDM and decreased the probability of an uncomplicated pregnancy. Limitations of this study are that there are several different definitions for MetS in the adult population, and as there are none for pregnancy, we cannot be sure that the IDF criteria are the most appropriate definition for pregnancy. Furthermore, MetS was assessed in the first trimester and may not reflect pre-pregnancy metabolic health status. CONCLUSIONS We did not compare the impact of individual metabolic components with that of MetS as a composite, and therefore cannot conclude that MetS is better at identifying women at risk. However, more than half of the women who had MetS in early pregnancy developed a pregnancy complication compared with just over a third of women who did not have MetS. Furthermore, while increasing BMI increases the probability of GDM, the addition of MetS exacerbates this probability. Further studies are required to determine if individual MetS components act synergistically or independently.
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Affiliation(s)
- Jessica A. Grieger
- Robinson Research Institute, University of Adelaide, Adelaide, Australia
- Adelaide Medical School, University of Adelaide, Adelaide, Australia
| | - Tina Bianco-Miotto
- Robinson Research Institute, University of Adelaide, Adelaide, Australia
- Waite Research Institute, School of Agriculture, Food and Wine, University of Adelaide, Adelaide, Australia
| | - Luke E. Grzeskowiak
- Robinson Research Institute, University of Adelaide, Adelaide, Australia
- Adelaide Medical School, University of Adelaide, Adelaide, Australia
| | - Shalem Y. Leemaqz
- Robinson Research Institute, University of Adelaide, Adelaide, Australia
- Adelaide Medical School, University of Adelaide, Adelaide, Australia
| | - Lucilla Poston
- Department of Women and Children’s Health, King’s College London, St. Thomas’ Hospital, London, United Kingdom
| | - Lesley M. McCowan
- Department of Obstetrics and Gynaecology, University of Auckland, Auckland, New Zealand
| | - Louise C. Kenny
- Faculty of Health & Life Sciences, University of Liverpool, Liverpool, United Kingdom
| | - Jenny E. Myers
- Maternal and Fetal Health Research Centre, University of Manchester, Manchester, United Kingdom
| | - James J. Walker
- Obstetrics and Gynaecology Section, Leeds Institute of Biomedical and Clinical Sciences, University of Leeds, Leeds, United Kingdom
| | - Gus A. Dekker
- Robinson Research Institute, University of Adelaide, Adelaide, Australia
- Adelaide Medical School, University of Adelaide, Adelaide, Australia
- Women and Children’s Division, Lyell McEwin Hospital, Adelaide, Australia
| | - Claire T. Roberts
- Robinson Research Institute, University of Adelaide, Adelaide, Australia
- Adelaide Medical School, University of Adelaide, Adelaide, Australia
- * E-mail:
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Wilson RL, Leviton AJ, Leemaqz SY, Anderson PH, Grieger JA, Grzeskowiak LE, Verburg PE, McCowan L, Dekker GA, Bianco-Miotto T, Roberts CT. Vitamin D levels in an Australian and New Zealand cohort and the association with pregnancy outcome. BMC Pregnancy Childbirth 2018; 18:251. [PMID: 29925344 PMCID: PMC6011374 DOI: 10.1186/s12884-018-1887-x] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2017] [Accepted: 06/07/2018] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND Pregnant women are at increased susceptibility to vitamin D deficiency. Hence, there is continuing interest in determining how vitamin D influences pregnancy health. We aimed to compare vitamin D status in two distinct populations of pregnant women in Australia and New Zealand and to investigate the relationship between vitamin D status and pregnancy outcome. This included evaluating possible effect measure modifications according to fetal sex. METHODS Serum 25-hydroxy vitamin D (25(OH)D) was measured at 15 ± 1 weeks' gestation in 2800 women from Adelaide and Auckland who participated in the multi-centre, prospective cohort SCreening fOr Pregnancy Endpoints (SCOPE) study. RESULTS Mean serum 25(OH)D in all women was 68.1 ± 27.1 nmol/L and 28% (n = 772) were considered vitamin D deficient (< 50 nmol/L). Serum 25(OH)D was lower in the women recruited in Adelaide when compared to the women recruited in Auckland and remained lower after adjusting for covariates including maternal body mass index and socioeconomic index (Adelaide: 58.4 ± 50.3 vs. Auckland: 70.2 ± 54.5 nmol/L, P < 0.001). A 53% decreased risk for gestational diabetes mellitus (GDM) was observed with high (> 81 nmol/L) "standardised" vitamin D status when compared to moderate-high (63-81 nmol/L, aRR, 0.47; 95% CI: 0.23, 0.96). Marginal sex-specific differences occurred between vitamin D status and GDM: women carrying a female fetus had a 56% decreased risk for GDM in those with low-moderate levels of standardised vitamin D (44-63 nmol/L) compared to moderate-high levels (aRR: 0.44; 95% CI: 0.20, 0.97), whilst in women carrying a male fetus, a 55% decreased risk of GDM was found with high standardised vitamin D when compared to moderately-high vitamin D, but this was not statistically significant (aRR: 0.45; 95% CI: 0.15, 1.38). CONCLUSIONS High serum 25(OH)D at 15 ± 1 weeks' gestation was shown to be protective against the development of GDM. A possible association between fetal sex, vitamin D status and GDM provides further questions and encourages continual research and discussion into the role of vitamin D in pregnancy, particularly in vitamin D replete populations.
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Affiliation(s)
- Rebecca L Wilson
- Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia.,Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia
| | - Alison J Leviton
- Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia.,Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia
| | - Shalem Y Leemaqz
- Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia.,Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia
| | - Paul H Anderson
- School of Pharmacy and Medical Sciences, Division of Health Sciences, University of South Australia, Adelaide, South Australia, Australia
| | - Jessica A Grieger
- Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia.,Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia
| | - Luke E Grzeskowiak
- Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia.,Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia
| | - Petra E Verburg
- Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia.,Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia.,University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Lesley McCowan
- Department of Obstetrics and Gynaecology, University of Auckland, Auckland, New Zealand
| | - Gustaaf A Dekker
- Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia.,Women's and Children's Division, Lyell McEwin Hospital, Elizabeth Vale, South Australia, Australia
| | - Tina Bianco-Miotto
- Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia.,Waite Research Institute & School of Agriculture, Food and Wine, University of Adelaide, Adelaide, South Australia, Australia
| | - Claire T Roberts
- Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia. .,Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia.
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Grzeskowiak LE, Smithers LG, Grieger JA, Bianco-Miotto T, Leemaqz SY, Clifton VL, Poston L, McCowan LM, Kenny LC, Myers J, Walker JJ, Norman RJ, Dekker GA, Roberts CT. Asthma treatment impacts time to pregnancy: evidence from the international SCOPE study. Eur Respir J 2018; 51:51/2/1702035. [PMID: 29444917 DOI: 10.1183/13993003.02035-2017] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2017] [Accepted: 12/06/2017] [Indexed: 11/05/2022]
Affiliation(s)
- Luke E Grzeskowiak
- Robinson Research Institute, University of Adelaide, Adelaide, Australia .,Adelaide Medical School, University of Adelaide, Adelaide, Australia
| | - Lisa G Smithers
- Robinson Research Institute, University of Adelaide, Adelaide, Australia.,School of Public Health, University of Adelaide, Adelaide, Australia
| | - Jessica A Grieger
- Robinson Research Institute, University of Adelaide, Adelaide, Australia.,Adelaide Medical School, University of Adelaide, Adelaide, Australia
| | - Tina Bianco-Miotto
- Robinson Research Institute, University of Adelaide, Adelaide, Australia.,Waite Research Institute, School of Agriculture, Food and Wine, University of Adelaide, Adelaide, Australia
| | - Shalem Y Leemaqz
- Robinson Research Institute, University of Adelaide, Adelaide, Australia.,Adelaide Medical School, University of Adelaide, Adelaide, Australia
| | - Vicki L Clifton
- Mater Medical Research Institute, University of Queensland, Brisbane, Australia
| | - Lucilla Poston
- Women's Health Academic Centre, King's College London and King's Health Partners, London, UK
| | - Lesley M McCowan
- Dept of Obstetrics and Gynaecology, University of Auckland, Auckland, New Zealand
| | - Louise C Kenny
- The Irish Centre for Fetal and Neonatal Translational Research (INFANT) and Dept of Obstetrics and Gynaecology, University College Cork, Cork, Ireland
| | - Jenny Myers
- Maternal and Fetal Health Research Centre, University of Manchester, Manchester, UK
| | - James J Walker
- Obstetrics and Gynaecology Section, Leeds Institute of Biomedical and Clinical Sciences, University of Leeds, Leeds, UK
| | - Robert J Norman
- Robinson Research Institute, University of Adelaide, Adelaide, Australia.,Fertility SA, Adelaide, Australia
| | - Gus A Dekker
- Robinson Research Institute, University of Adelaide, Adelaide, Australia.,Women and Children's Division, Lyell McEwin Hospital, Adelaide, Australia
| | - Claire T Roberts
- Robinson Research Institute, University of Adelaide, Adelaide, Australia.,Adelaide Medical School, University of Adelaide, Adelaide, Australia
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Abstract
OBJECTIVES There has been little evaluation of the evidence relating dietary factors to functional capacity in older adults. The aims were to i) conduct a systematic review of studies assessing dietary factors in relation to six key functional indicators which impact on quality of life in adults ≥65 yrs: non-fatal cardiovascular events, cognition, mental health, falls and fractures, physical health (muscle mass, strength) and frailty; and ii) assess if there was sufficient evidence to devise food-based dietary recommendations. DESIGN Systematic review. PARTICIPANTS Cross-sectional and prospective cohort studies were included together with intervention studies that evaluated food/drink interventions (excluding supplements). Evidence base statements were determined according to the GRADE (Grades of Recommendation, Assessment, Development and Evaluation) levels of evidence criteria (Grades (A-excellent; B-good; C-satisfactory; D-poor). RESULTS There was good evidence that the Mediterranean type diet (MD) reduced the risk of non-fatal cardiovascular events (Grade B) and reduced cognitive decline (Grade B). There was some evidence indicating that a MD decreases the likelihood of frailty (Grade C), consistent but weaker evidence that ≥3 servings/d of vegetables is associated with reduced cognitive decline (Grade D), a modest increase in protein may be associated with improved cognition (Grade C) and decreased frailty (Grade C), and that protein plus resistance exercise training in frail elderly may enhance physical strength (Grade C). CONCLUSION It is recommended that older adults adopt the characteristics of a Mediterranean type diet such as including olive oil and eating ≥3 servings/d of vegetables to reduce their risk of chronic disease, impaired cognition and frailty. Consumption of dietary protein above the current dietary requirements would be recommended to reduce risk of frailty and impaired cognition. A modest increase in dietary protein when combined with resistance exercise would be recommended to help maintain muscle mass and strength and to enhance functional capacity.
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Affiliation(s)
- C A Nowson
- Caryl Nowson, Deakin University, Geelong, VIC, Australia,
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Grieger JA, Johnson BJ, Wycherley TP, Golley RK. Evaluation of Simulation Models that Estimate the Effect of Dietary Strategies on Nutritional Intake: A Systematic Review. J Nutr 2017; 147:908-931. [DOI: 10.3945/jn.116.245027] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2016] [Revised: 01/02/2017] [Accepted: 03/13/2017] [Indexed: 11/14/2022] Open
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Wilson RL, Grieger JA, Bianco-Miotto T, Roberts CT. Association between Maternal Zinc Status, Dietary Zinc Intake and Pregnancy Complications: A Systematic Review. Nutrients 2016; 8:nu8100641. [PMID: 27754451 PMCID: PMC5084028 DOI: 10.3390/nu8100641] [Citation(s) in RCA: 60] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2016] [Revised: 09/27/2016] [Accepted: 09/29/2016] [Indexed: 12/12/2022] Open
Abstract
Adequate zinc stores in the body are extremely important during periods of accelerated growth. However, zinc deficiency is common in developing countries and low maternal circulating zinc concentrations have previously been associated with pregnancy complications. We reviewed current literature assessing circulating zinc and dietary zinc intake during pregnancy and the associations with preeclampsia (PE); spontaneous preterm birth (sPTB); low birthweight (LBW); and gestational diabetes (GDM). Searches of MEDLINE; CINAHL and Scopus databases identified 639 articles and 64 studies were reviewed. In 10 out of 16 studies a difference was reported with respect to circulating zinc between women who gave birth to a LBW infant (≤2500 g) and those who gave birth to an infant of adequate weight (>2500 g), particularly in populations where inadequate zinc intake is prevalent. In 16 of our 33 studies an association was found between hypertensive disorders of pregnancy and circulating zinc; particularly in women with severe PE (blood pressure ≥160/110 mmHg). No association between maternal zinc status and sPTB or GDM was seen; however; direct comparisons between the studies was difficult. Furthermore; only a small number of studies were based on women from populations where there is a high risk of zinc deficiency. Therefore; the link between maternal zinc status and pregnancy success in these populations cannot be established. Future studies should focus on those vulnerable to zinc deficiency and include dietary zinc intake as a measure of zinc status.
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Affiliation(s)
- Rebecca L Wilson
- Robinson Research Institute, University of Adelaide, Adelaide SA 5005, Australia.
- Adelaide Medical School, University of Adelaide, Adelaide SA 5005, Australia.
| | - Jessica A Grieger
- Robinson Research Institute, University of Adelaide, Adelaide SA 5005, Australia.
- Adelaide Medical School, University of Adelaide, Adelaide SA 5005, Australia.
| | - Tina Bianco-Miotto
- Robinson Research Institute, University of Adelaide, Adelaide SA 5005, Australia.
- Waite Research Institute, School of Agriculture, Food and Wine, University of Adelaide, Adelaide SA 5005, Australia.
| | - Claire T Roberts
- Robinson Research Institute, University of Adelaide, Adelaide SA 5005, Australia.
- Adelaide Medical School, University of Adelaide, Adelaide SA 5005, Australia.
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Dickinson H, Davies-Tuck M, Ellery SJ, Grieger JA, Wallace EM, Snow RJ, Walker DW, Clifton VL. Maternal creatine in pregnancy: a retrospective cohort study. BJOG 2016; 123:1830-8. [PMID: 27550725 DOI: 10.1111/1471-0528.14237] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/24/2016] [Indexed: 11/28/2022]
Abstract
OBJECTIVE To estimate creatine concentrations in maternal plasma and urine, and establish relationships with maternal characteristics, diet and fetal growth. DESIGN Retrospective cohort study. SETTING Lyell McEwin Hospital, Adelaide, Australia. POPULATION A biobank of plasma and urine samples collected at 13, 18, 30 and 36 weeks' gestation from 287 pregnant women from a prospective cohort of asthmatic and non-asthmatic women. METHODS Creatine was measured by enzymatic analysis. Change in creatine over pregnancy was assessed using the Friedman test. Linear mixed models regression was used to determine associations between maternal factors and diet with creatine across pregnancy and between creatine with indices of fetal growth at birth. MAIN OUTCOME MEASURES Maternal creatine concentrations, associations between maternal factors and creatine and between creatine and fetal growth parameters. RESULTS Maternal smoking, body mass index, asthma and socio-economic status were positively and parity negatively associated with maternal plasma and/or urine creatine. Maternal urine creatine concentration was positively associated with birthweight centile and birth length. After adjustment, each μmol/l increase in maternal urinary creatine was associated with a 1.23 (95% CI 0.44-2.02) unit increase in birthweight centile and a 0.11-cm (95% CI 0.03-0.2) increase in birth length. CONCLUSIONS Maternal factors and fetal growth measures are associated with maternal plasma and urine creatine concentrations. TWEETABLE ABSTRACT Maternal creatine is altered by pregnancy; fetal growth measures are associated with maternal creatine concentrations.
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Affiliation(s)
- H Dickinson
- The Ritchie Centre, Hudson Institute of Medical Research, Clayton, Vic., Australia. .,Department of Obstetrics and Gynaecology, Monash University, Melbourne, Vic., Australia.
| | - M Davies-Tuck
- The Ritchie Centre, Hudson Institute of Medical Research, Clayton, Vic., Australia.,Department of Obstetrics and Gynaecology, Monash University, Melbourne, Vic., Australia
| | - S J Ellery
- The Ritchie Centre, Hudson Institute of Medical Research, Clayton, Vic., Australia.,Department of Obstetrics and Gynaecology, Monash University, Melbourne, Vic., Australia
| | - J A Grieger
- Robinson Research Institute, School of Medicine, University of Adelaide, Adelaide, SA, Australia
| | - E M Wallace
- The Ritchie Centre, Hudson Institute of Medical Research, Clayton, Vic., Australia.,Department of Obstetrics and Gynaecology, Monash University, Melbourne, Vic., Australia
| | - R J Snow
- School of Exercise and Nutrition Sciences, Institute for Physical Activity and Nutrition, Deakin University, Burwood, Vic., Australia
| | - D W Walker
- The Ritchie Centre, Hudson Institute of Medical Research, Clayton, Vic., Australia.,Department of Obstetrics and Gynaecology, Monash University, Melbourne, Vic., Australia
| | - V L Clifton
- Robinson Research Institute, School of Medicine, University of Adelaide, Adelaide, SA, Australia.,Mater Medical Research Institute and Translational Research Institute, University of Queensland, Brisbane, Qld, Australia
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Grieger JA, Wycherley TP, Johnson BJ, Golley RK. Discrete strategies to reduce intake of discretionary food choices: a scoping review. Int J Behav Nutr Phys Act 2016; 13:57. [PMID: 27151280 PMCID: PMC4858928 DOI: 10.1186/s12966-016-0380-z] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2015] [Accepted: 04/28/2016] [Indexed: 11/26/2022] Open
Abstract
On a population level, dietary improvement strategies have had limited success in preventing the surge in overweight and obesity or reducing risk factors for chronic disease. While numerous multi-component studies have examined whole-of-diet strategies, and single component (i.e. discrete) dietary intervention strategies have targeted an increase in core foods (e.g. fruits, vegetables, dairy), there is a paucity of evidence on the effectiveness of dietary intervention strategies targeting a decrease in discretionary choices. The aim of this review was to identify dietary intervention strategies that are potentially relevant to reducing intake of discretionary choices in 2–65 year olds. A scoping review was carried out to map the literature on key discrete dietary intervention strategies that are potentially applicable to reducing discretionary choices, and to identify the targeted health/nutrition effects (e.g. improve nutrient intake, decrease sugar intake, and reduce body weight) of these strategies. Studies conducted in participants aged 2–65 years and published in English by July 20, 2015, were located through electronic searches including the Cochrane Library, Medline, Embase, CINAHL, and Scopus. Three thousand two hundred and eighty three studies were identified from the search, of which 44 met the selection criteria. The dietary intervention strategies included reformulation (n = 13), substitution (n = 5), restriction/elimination (n = 9), supplementation (n = 13), and nutrition education/messages (n = 4). The key findings of the review were: restricting portion size was consistently beneficial for reducing energy intake in the acute setting; reformulating foods from higher fat to lower fat could be useful to reduce saturated fat intake; substituting discretionary choices for high fibre snacks, fruit, or low/no-calorie beverages may be an effective strategy for reducing energy intake; supplementing nutrient dense foods such as nuts and wholegrain cereals supports an improved overall diet quality; and, a combination of permissive and restrictive nutrition messages may effectively modify behavior to reduce discretionary choices intake. Longer-term, well-controlled studies are required to assess the effectiveness of the identified dietary strategies as interventions to reduce discretionary choices intake.
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Affiliation(s)
- Jessica A Grieger
- School of Pharmacy and Medical Sciences, University of South Australia, Adelaide, Australia
| | - Thomas P Wycherley
- School of Health Sciences, University of South Australia, Adelaide, Australia
| | - Brittany J Johnson
- School of Pharmacy and Medical Sciences, University of South Australia, Adelaide, Australia
| | - Rebecca K Golley
- School of Pharmacy and Medical Sciences, Sansom Institute for Health Research (Public Health Concentration), University of South Australia, Adelaide, Australia.
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Grieger JA, Clifton VL, Tuck AR, Wooldridge AL, Robertson SA, Gatford KL. In utero Programming of Allergic Susceptibility. Int Arch Allergy Immunol 2016; 169:80-92. [PMID: 27044002 DOI: 10.1159/000443961] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Around 30-40% of the world's population will experience allergy, the most common and earliest-onset noncommunicable disease. With a steady rise in the incidence of allergic disease over recent decades, up to 18% of children will suffer a respiratory, food or skin allergy before their 18th birthday. There is compelling evidence that the risk of developing allergy is influenced by early life events and particularly in utero exposures. METHODS A comprehensive literature review was undertaken which outlines prenatal risk factors and potential mechanisms underlying the development of allergy in childhood. RESULTS Exposures including maternal cigarette smoking, preterm birth and Caesarean delivery are implicated in predisposing infants to the later development of allergy. In contrast, restricted growth in utero, a healthy maternal diet and a larger family size are protective, but the mechanisms here are unclear and require further investigation. CONCLUSION To ameliorate the allergy pandemic in young children, we must define prenatal mechanisms that alter the programming of the fetal immune system and also identify specific targets for antenatal interventions.
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Affiliation(s)
- Jessica A Grieger
- Robinson Research Institute and School of Medicine, University ofAdelaide, Adelaide, S.A., Australia
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Moran LJ, Grieger JA, Mishra GD, Teede HJ. The Association of a Mediterranean-Style Diet Pattern with Polycystic Ovary Syndrome Status in a Community Cohort Study. Nutrients 2015; 7:8553-64. [PMID: 26501318 PMCID: PMC4632439 DOI: 10.3390/nu7105419] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2015] [Accepted: 10/12/2015] [Indexed: 01/08/2023] Open
Abstract
Polycystic ovary syndrome (PCOS) is a common condition in reproductive-aged women. While lifestyle management is first-line treatment in PCOS, the dietary intake of women with PCOS is unclear and there is no research assessing dietary patterns of women with and without PCOS. The aim of this study was to examine dietary patterns in a large cohort of women with and without PCOS. Data were from 7569 participants in the 1973–1978 cohort of the Australian Longitudinal Study on Women’s Health population assessed at 2009 (Survey 5) (n = 414 PCOS, n = 7155 non-PCOS). Dietary patterns were evaluated using factor analysis and multiple logistic regressions assessed their associations with PCOS status. Three dietary patterns were identified that explained 27% of the variance in food intake between women with and without PCOS: Non-core foods; Meats and take-away and Mediterranean-style. The Mediterranean-style dietary pattern was independently associated with PCOS status. On adjusted analysis for each 1 SD increase in the Mediterranean-style dietary pattern, there was a 26% greater likelihood that women had PCOS. This may indicate an improvement in the quality of dietary intake following a diagnosis of PCOS. Future research should examine the contribution of dietary patterns to the incidence and severity of PCOS and the potential for modification of dietary patterns in the lifestyle management of PCOS.
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Affiliation(s)
- Lisa J. Moran
- The Robinson Research Institute, University of Adelaide, 55 King William Road, North Adelaide, South Australia 5006, Australia;
- Monash Centre for Health Research Implementation, School of Public Health and Preventative Medicine, Monash University, Melbourne 3004, Australia;
- Correspondence: ; Tel.: +61-8-313-1352; Fax: +61-8-3161-7652
| | - Jessica A. Grieger
- The Robinson Research Institute, University of Adelaide, 55 King William Road, North Adelaide, South Australia 5006, Australia;
| | - Gita D. Mishra
- School of Public Health, University of Queensland, Herston, Queensland 4006, Australia;
| | - Helena J. Teede
- Monash Centre for Health Research Implementation, School of Public Health and Preventative Medicine, Monash University, Melbourne 3004, Australia;
- Diabetes and Endocrine Unit, Monash Health, Clayton 3168, Australia
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47
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Bell LK, Edwards S, Grieger JA. The Relationship between Dietary Patterns and Metabolic Health in a Representative Sample of Adult Australians. Nutrients 2015; 7:6491-505. [PMID: 26251918 PMCID: PMC4555134 DOI: 10.3390/nu7085295] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2015] [Revised: 07/29/2015] [Accepted: 07/31/2015] [Indexed: 12/11/2022] Open
Abstract
Studies assessing dietary intake and its relationship to metabolic phenotype are emerging, but limited. The aims of the study are to identify dietary patterns in Australian adults, and to determine whether these dietary patterns are associated with metabolic phenotype and obesity. Cross-sectional data from the Australian Bureau of Statistics 2011 Australian Health Survey was analysed. Subjects included adults aged 45 years and over (n = 2415). Metabolic phenotype was determined according to criteria used to define metabolic syndrome (0-2 abnormalities vs. 3-7 abnormalities), and additionally categorized for obesity (body mass index (BMI) ≥30 kg/m2 vs. BMI <30 kg/m2). Dietary patterns were derived using factor analysis. Multivariable models were used to assess the relationship between dietary patterns and metabolic phenotype, with adjustment for age, sex, smoking status, socio-economic indexes for areas, physical activity and daily energy intake. Twenty percent of the population was metabolically unhealthy and obese. In the fully adjusted model, for every one standard deviation increase in the Healthy dietary pattern, the odds of having a more metabolically healthy profile increased by 16% (odds ratio (OR) 1.16; 95% confidence interval (CI): 1.04, 1.29). Poor metabolic profile and obesity are prevalent in Australian adults and a healthier dietary pattern plays a role in a metabolic and BMI phenotypes. Nutritional strategies addressing metabolic syndrome criteria and targeting obesity are recommended in order to improve metabolic phenotype and potential disease burden.
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Affiliation(s)
- Lucinda K Bell
- Nutrition and Dietetics, School of Health Sciences, Faculty of Medicine, Nursing and Health Sciences, Flinders University, Bedford Park 5042, Australia.
| | - Suzanne Edwards
- Data Management and Analysis Centre (DMAC), Faculty of Health Sciences, University of Adelaide, Adelaide 5005, Australia.
| | - Jessica A Grieger
- Robinson Research Institute, School of Medicine, Faculty of Health Sciences, University of Adelaide, Adelaide 5005, Australia.
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48
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Grieger JA, Clifton VL. A review of the impact of dietary intakes in human pregnancy on infant birthweight. Nutrients 2014; 7:153-78. [PMID: 25551251 PMCID: PMC4303831 DOI: 10.3390/nu7010153] [Citation(s) in RCA: 127] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2014] [Accepted: 12/16/2014] [Indexed: 01/04/2023] Open
Abstract
Studies assessing maternal dietary intakes and the relationship with birthweight are inconsistent, thus attempting to draw inferences on the role of maternal nutrition in determining the fetal growth trajectory is difficult. The aim of this review is to provide updated evidence from epidemiological and randomized controlled trials on the impact of dietary and supplemental intakes of omega-3 long-chain polyunsaturated fatty acids, zinc, folate, iron, calcium, and vitamin D, as well as dietary patterns, on infant birthweight. A comprehensive review of the literature was undertaken via the electronic databases Pubmed, Cochrane Library, and Medline. Included articles were those published in English, in scholarly journals, and which provided information about diet and nutrition during pregnancy and infant birthweight. There is insufficient evidence for omega-3 fatty acid supplements’ ability to reduce risk of low birthweight (LBW), and more robust evidence from studies supplementing with zinc, calcium, and/or vitamin D needs to be established. Iron supplementation appears to increase birthweight, particularly when there are increases in maternal hemoglobin concentrations in the third trimester. There is limited evidence supporting the use of folic acid supplements to reduce the risk for LBW; however, supplementation may increase birthweight by ~130 g. Consumption of whole foods such as fruit, vegetables, low-fat dairy, and lean meats throughout pregnancy appears beneficial for appropriate birthweight. Intervention studies with an understanding of optimal dietary patterns may provide promising results for both maternal and perinatal health. Outcomes from these studies will help determine what sort of dietary advice could be promoted to women during pregnancy in order to promote the best health for themselves and their baby.
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Affiliation(s)
- Jessica A Grieger
- Robinson Research Institute, School of Paediatrics and Reproductive Health, Adelaide University, Lyell McEwin Hospital, Haydown Road, Elizabeth Vale, SA 5112, Australia.
| | - Vicki L Clifton
- Robinson Research Institute, School of Paediatrics and Reproductive Health, Adelaide University, Lyell McEwin Hospital, Haydown Road, Elizabeth Vale, SA 5112, Australia.
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49
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Harris Jackson K, West SG, Vanden Heuvel JP, Jonnalagadda SS, Ross AB, Hill AM, Grieger JA, Lemieux SK, Kris-Etherton PM. Effects of whole and refined grains in a weight-loss diet on markers of metabolic syndrome in individuals with increased waist circumference: a randomized controlled-feeding trial. Am J Clin Nutr 2014; 100:577-86. [PMID: 24944054 PMCID: PMC4095661 DOI: 10.3945/ajcn.113.078048] [Citation(s) in RCA: 55] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Higher whole-grain (WG) intake is associated with a lower prevalence of metabolic syndrome (MetS); however, there is inconsistent clinical evidence with regard to the benefit of WGs compared with refined grains (RGs) on MetS. OBJECTIVE We hypothesized that consuming WGs in the place of RGs would improve MetS criteria in individuals with or at risk of MetS. DESIGN A randomized, controlled, open-label parallel study was conducted in 50 overweight and obese individuals with increased waist circumference and one or more other MetS criteria. Participants consumed a controlled weight-loss diet containing either WG or RG (control) products for 12 wk. Body composition, MetS criteria and related markers, and plasma alkylresorcinols (compliance marker of WG intake) were measured at baseline and at 6 and 12 wk. A subgroup (n = 28) underwent magnetic resonance imaging to quantify subcutaneous and visceral adipose tissue (AT). RESULTS Baseline variables were not significantly different between groups; however, the RG group tended to have higher triglycerides and lower high-density lipoprotein (HDL) cholesterol (P = 0.06). Alkylresorcinols increased with consumption of the WG diet and did not change with consumption of the RG diet (time × treatment, P < 0.0001), which showed dietary compliance. There were no differences in anthropometric changes between groups; however, weight, body mass index, and percentage of body AT decreased at both 6 and 12 wk (P < 0.05), and reductions in percentage of abdominal AT occurred by 6 wk and did not change between 6 and 12 wk (P = 0.09). Both glucose (P = 0.02) and HDL cholesterol (P = 0.04) were lower with the consumption of the WG compared with the RG diet. However, when noncompliant individuals (n = 3) were removed, the glucose effect was stronger (P = 0.01) and the HDL-cholesterol effect was no longer significant (P = 0.14). CONCLUSIONS Replacing RGs with WGs within a weight-loss diet does not beneficially affect abdominal AT loss and has modest effects on markers of MetS. WGs appear to be effective at normalizing blood glucose concentrations, especially in those individuals with prediabetes.
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Affiliation(s)
- Kristina Harris Jackson
- From the Departments of Nutritional Sciences (KHJ, SGW, AMH, JAG, and PMK-E), Biobehavioral Health (SGW), and Veterinary and Biomedical Science (JPVH); the Center of Excellence in Nutrigenomics (JPVH and PMK-E); and the Social, Life, and Engineering Sciences Imaging Center (SKL), Pennsylvania State University, University Park, PA; the Bell Institute of Health and Nutrition, General Mills Inc, Minneapolis, MN (SSJ); the Nestlé Research Center, Lausanne, Switzerland (ABR); the Chalmers University of Technology, Gothenburg, Sweden (ABR); the Nutritional Physiology Research Centre, University of South Australia, Adelaide, Australia (AMH); and the Robinson Institute, Adelaide University, Adelaide, Australia (JAG)
| | - Sheila G West
- From the Departments of Nutritional Sciences (KHJ, SGW, AMH, JAG, and PMK-E), Biobehavioral Health (SGW), and Veterinary and Biomedical Science (JPVH); the Center of Excellence in Nutrigenomics (JPVH and PMK-E); and the Social, Life, and Engineering Sciences Imaging Center (SKL), Pennsylvania State University, University Park, PA; the Bell Institute of Health and Nutrition, General Mills Inc, Minneapolis, MN (SSJ); the Nestlé Research Center, Lausanne, Switzerland (ABR); the Chalmers University of Technology, Gothenburg, Sweden (ABR); the Nutritional Physiology Research Centre, University of South Australia, Adelaide, Australia (AMH); and the Robinson Institute, Adelaide University, Adelaide, Australia (JAG)
| | - John P Vanden Heuvel
- From the Departments of Nutritional Sciences (KHJ, SGW, AMH, JAG, and PMK-E), Biobehavioral Health (SGW), and Veterinary and Biomedical Science (JPVH); the Center of Excellence in Nutrigenomics (JPVH and PMK-E); and the Social, Life, and Engineering Sciences Imaging Center (SKL), Pennsylvania State University, University Park, PA; the Bell Institute of Health and Nutrition, General Mills Inc, Minneapolis, MN (SSJ); the Nestlé Research Center, Lausanne, Switzerland (ABR); the Chalmers University of Technology, Gothenburg, Sweden (ABR); the Nutritional Physiology Research Centre, University of South Australia, Adelaide, Australia (AMH); and the Robinson Institute, Adelaide University, Adelaide, Australia (JAG)
| | - Satya S Jonnalagadda
- From the Departments of Nutritional Sciences (KHJ, SGW, AMH, JAG, and PMK-E), Biobehavioral Health (SGW), and Veterinary and Biomedical Science (JPVH); the Center of Excellence in Nutrigenomics (JPVH and PMK-E); and the Social, Life, and Engineering Sciences Imaging Center (SKL), Pennsylvania State University, University Park, PA; the Bell Institute of Health and Nutrition, General Mills Inc, Minneapolis, MN (SSJ); the Nestlé Research Center, Lausanne, Switzerland (ABR); the Chalmers University of Technology, Gothenburg, Sweden (ABR); the Nutritional Physiology Research Centre, University of South Australia, Adelaide, Australia (AMH); and the Robinson Institute, Adelaide University, Adelaide, Australia (JAG)
| | - Alastair B Ross
- From the Departments of Nutritional Sciences (KHJ, SGW, AMH, JAG, and PMK-E), Biobehavioral Health (SGW), and Veterinary and Biomedical Science (JPVH); the Center of Excellence in Nutrigenomics (JPVH and PMK-E); and the Social, Life, and Engineering Sciences Imaging Center (SKL), Pennsylvania State University, University Park, PA; the Bell Institute of Health and Nutrition, General Mills Inc, Minneapolis, MN (SSJ); the Nestlé Research Center, Lausanne, Switzerland (ABR); the Chalmers University of Technology, Gothenburg, Sweden (ABR); the Nutritional Physiology Research Centre, University of South Australia, Adelaide, Australia (AMH); and the Robinson Institute, Adelaide University, Adelaide, Australia (JAG)
| | - Alison M Hill
- From the Departments of Nutritional Sciences (KHJ, SGW, AMH, JAG, and PMK-E), Biobehavioral Health (SGW), and Veterinary and Biomedical Science (JPVH); the Center of Excellence in Nutrigenomics (JPVH and PMK-E); and the Social, Life, and Engineering Sciences Imaging Center (SKL), Pennsylvania State University, University Park, PA; the Bell Institute of Health and Nutrition, General Mills Inc, Minneapolis, MN (SSJ); the Nestlé Research Center, Lausanne, Switzerland (ABR); the Chalmers University of Technology, Gothenburg, Sweden (ABR); the Nutritional Physiology Research Centre, University of South Australia, Adelaide, Australia (AMH); and the Robinson Institute, Adelaide University, Adelaide, Australia (JAG)
| | - Jessica A Grieger
- From the Departments of Nutritional Sciences (KHJ, SGW, AMH, JAG, and PMK-E), Biobehavioral Health (SGW), and Veterinary and Biomedical Science (JPVH); the Center of Excellence in Nutrigenomics (JPVH and PMK-E); and the Social, Life, and Engineering Sciences Imaging Center (SKL), Pennsylvania State University, University Park, PA; the Bell Institute of Health and Nutrition, General Mills Inc, Minneapolis, MN (SSJ); the Nestlé Research Center, Lausanne, Switzerland (ABR); the Chalmers University of Technology, Gothenburg, Sweden (ABR); the Nutritional Physiology Research Centre, University of South Australia, Adelaide, Australia (AMH); and the Robinson Institute, Adelaide University, Adelaide, Australia (JAG)
| | - Susan K Lemieux
- From the Departments of Nutritional Sciences (KHJ, SGW, AMH, JAG, and PMK-E), Biobehavioral Health (SGW), and Veterinary and Biomedical Science (JPVH); the Center of Excellence in Nutrigenomics (JPVH and PMK-E); and the Social, Life, and Engineering Sciences Imaging Center (SKL), Pennsylvania State University, University Park, PA; the Bell Institute of Health and Nutrition, General Mills Inc, Minneapolis, MN (SSJ); the Nestlé Research Center, Lausanne, Switzerland (ABR); the Chalmers University of Technology, Gothenburg, Sweden (ABR); the Nutritional Physiology Research Centre, University of South Australia, Adelaide, Australia (AMH); and the Robinson Institute, Adelaide University, Adelaide, Australia (JAG)
| | - Penny M Kris-Etherton
- From the Departments of Nutritional Sciences (KHJ, SGW, AMH, JAG, and PMK-E), Biobehavioral Health (SGW), and Veterinary and Biomedical Science (JPVH); the Center of Excellence in Nutrigenomics (JPVH and PMK-E); and the Social, Life, and Engineering Sciences Imaging Center (SKL), Pennsylvania State University, University Park, PA; the Bell Institute of Health and Nutrition, General Mills Inc, Minneapolis, MN (SSJ); the Nestlé Research Center, Lausanne, Switzerland (ABR); the Chalmers University of Technology, Gothenburg, Sweden (ABR); the Nutritional Physiology Research Centre, University of South Australia, Adelaide, Australia (AMH); and the Robinson Institute, Adelaide University, Adelaide, Australia (JAG)
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Abstract
Maternal nutrition can have a profound effect on fetal growth, development, and subsequent infant birth weight. Preconception dietary patterns have not been assessed in relation to perinatal outcomes. The objectives of this study were to identify associations between maternal dietary patterns in the 12 mo before conception on fetal growth and preterm delivery. Preconception food frequency data were collected retrospectively in 309 women. Dietary patterns were derived using factor analysis. Perinatal outcomes were collected at delivery with birth weight data calculated into percentiles to assess small and large for gestational age and preterm delivery at <37 wk. Three dietary patterns were identified: 1) high-protein/fruit (characterized by fish, meat, chicken, fruit, and some whole grains); 2) high-fat/sugar/takeaway (takeaway foods, potato chips, refined grains); and 3) vegetarian-type (vegetables, legumes, whole grains). A 1-SD increase in the scores on the high-protein/fruit pattern was associated with decreased likelihood of preterm birth (adjusted OR: 0.31; 95% CI: 0.13, 0.72; P = 0.007), whereas the reverse direction was apparent for the high-fat/sugar/takeaway pattern (adjusted OR: 1.54; 95% CI: 1.10, 2.15; P = 0.011). A 1-SD increase in the scores on the high fat/sugar/takeaway pattern was also associated with shorter gestation (adjusted regression coefficient: -2.7; 95% CI: -4.3, -1.1; P = 0.001) and birth length (adjusted regression coefficient: -0.5; 95% CI: -0.8, -0.1; P = 0.004). Nutrition before pregnancy is associated with perinatal outcomes. A dietary pattern containing several protein-rich food sources, fruit, and some whole grains is associated with reduced likelihood for preterm delivery, whereas a dietary pattern mainly consisting of discretionary items is associated with preterm delivery, shorter birth length, and earlier gestation. Poor dietary behaviors in the periconceptional period could be altered to promote behavior change in dietary intake to improve perinatal outcomes and the long-term health of the child.
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Affiliation(s)
- Jessica A Grieger
- Robinson Institute, School of Paediatrics and Reproductive Health, Lyell McEwin Hospital, Elizabeth Vale, SA, Australia
| | - Luke E Grzeskowiak
- Robinson Institute, School of Paediatrics and Reproductive Health, Lyell McEwin Hospital, Elizabeth Vale, SA, Australia
| | - Vicki L Clifton
- Robinson Institute, School of Paediatrics and Reproductive Health, Lyell McEwin Hospital, Elizabeth Vale, SA, Australia
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